TY  - JOUR
AU  - Miletić, Vesna
AU  - Popović, Marica N.
AU  - Galović, Slobodanka
AU  - Markushev, Dragan D.
AU  - Nešić, Mioljub V.
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10685
AB  - In order to make the photothermal effect detectable from a sample with low optical absorption, an optically opaque layer must be applied on its surface. A model of optically induced temperature variations for such a structure is derived, with a very thin coating applied on the non-illuminated (back) side of the sample and neglecting heat flux dissipation in the coating. Validation of the model is performed by comparing the obtained results with the results for the corresponding two-layer structure model. The influence of optical absorption on surface temperature variations of both optically transparent and semi-transparent film, whether the film is a good or poor thermal conductor, is analyzed. It is shown that the effects of optical absorption in the coated structure can be observed through variations in the measured temperature, despite the low absorbance of the sample.
T2  - Journal of Applied Physics
T1  - Photothermally induced temperature variations in a low-absorption sample via backside absorption
VL  - 133
IS  - 7
SP  - 075101
DO  - 10.1063/5.0134313
ER  - 

@article{
author = "Miletić, Vesna and Popović, Marica N. and Galović, Slobodanka and Markushev, Dragan D. and Nešić, Mioljub V.",
year = "2023",
abstract = "In order to make the photothermal effect detectable from a sample with low optical absorption, an optically opaque layer must be applied on its surface. A model of optically induced temperature variations for such a structure is derived, with a very thin coating applied on the non-illuminated (back) side of the sample and neglecting heat flux dissipation in the coating. Validation of the model is performed by comparing the obtained results with the results for the corresponding two-layer structure model. The influence of optical absorption on surface temperature variations of both optically transparent and semi-transparent film, whether the film is a good or poor thermal conductor, is analyzed. It is shown that the effects of optical absorption in the coated structure can be observed through variations in the measured temperature, despite the low absorbance of the sample.",
journal = "Journal of Applied Physics",
title = "Photothermally induced temperature variations in a low-absorption sample via backside absorption",
volume = "133",
number = "7",
pages = "075101",
doi = "10.1063/5.0134313"
}

Miletić, V., Popović, M. N., Galović, S., Markushev, D. D.,& Nešić, M. V.. (2023). Photothermally induced temperature variations in a low-absorption sample via backside absorption. in Journal of Applied Physics, 133(7), 075101.
https://doi.org/10.1063/5.0134313

Miletić V, Popović MN, Galović S, Markushev DD, Nešić MV. Photothermally induced temperature variations in a low-absorption sample via backside absorption. in Journal of Applied Physics. 2023;133(7):075101.
doi:10.1063/5.0134313 .

Miletić, Vesna, Popović, Marica N., Galović, Slobodanka, Markushev, Dragan D., Nešić, Mioljub V., "Photothermally induced temperature variations in a low-absorption sample via backside absorption" in Journal of Applied Physics, 133, no. 7 (2023):075101,
https://doi.org/10.1063/5.0134313 . .

TY  - JOUR
AU  - Đorđević, Katarina Lj.
AU  - Markushev, Dragana K.
AU  - Popović, Marica N.
AU  - Nesić, Mioljub V.
AU  - Galović, Slobodanka
AU  - Lukić, Dragan V.
AU  - Markushev, Dragan D.
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10858
AB  - In this paper, the possibility of determining the thermal, elastic and geometric characteristics of a thin TiO2 film deposited on a silicon substrate, with a thickness of 30 μm, in the frequency range of 20 to 20 kHz with neural networks were analysed. For this purpose, the geometric (thickness), thermal (thermal diffusivity, coefficient of linear expansion) and electronic parameters of substrates were known and constant in the two-layer model, while the following nano-layer thin-film parameters were changed: thickness, expansion and thermal diffusivity. Predictions of these three parameters of the thin-film were analysed separately with three neural networks. All of them together were joined by a fourth neural network. It was shown that the neural network, which analysed all three parameters at the same time, achieved the highest accuracy, so the use of networks that provide predictions for only one parameter is less reliable. The obtained results showed that the application of neural networks in determining the thermoelastic properties of a thin film on a supporting substrate enables the estimation of its characteristics with great accuracy.
T2  - Materials
T1  - Photoacoustic Characterization of TiO2 Thin-Films Deposited on Silicon Substrate Using Neural Networks
VL  - 16
IS  - 7
SP  - 2865
DO  - 10.3390/ma16072865
ER  - 

@article{
author = "Đorđević, Katarina Lj. and Markushev, Dragana K. and Popović, Marica N. and Nesić, Mioljub V. and Galović, Slobodanka and Lukić, Dragan V. and Markushev, Dragan D.",
year = "2023",
abstract = "In this paper, the possibility of determining the thermal, elastic and geometric characteristics of a thin TiO2 film deposited on a silicon substrate, with a thickness of 30 μm, in the frequency range of 20 to 20 kHz with neural networks were analysed. For this purpose, the geometric (thickness), thermal (thermal diffusivity, coefficient of linear expansion) and electronic parameters of substrates were known and constant in the two-layer model, while the following nano-layer thin-film parameters were changed: thickness, expansion and thermal diffusivity. Predictions of these three parameters of the thin-film were analysed separately with three neural networks. All of them together were joined by a fourth neural network. It was shown that the neural network, which analysed all three parameters at the same time, achieved the highest accuracy, so the use of networks that provide predictions for only one parameter is less reliable. The obtained results showed that the application of neural networks in determining the thermoelastic properties of a thin film on a supporting substrate enables the estimation of its characteristics with great accuracy.",
journal = "Materials",
title = "Photoacoustic Characterization of TiO2 Thin-Films Deposited on Silicon Substrate Using Neural Networks",
volume = "16",
number = "7",
pages = "2865",
doi = "10.3390/ma16072865"
}

Đorđević, K. Lj., Markushev, D. K., Popović, M. N., Nesić, M. V., Galović, S., Lukić, D. V.,& Markushev, D. D.. (2023). Photoacoustic Characterization of TiO2 Thin-Films Deposited on Silicon Substrate Using Neural Networks. in Materials, 16(7), 2865.
https://doi.org/10.3390/ma16072865

Đorđević KL, Markushev DK, Popović MN, Nesić MV, Galović S, Lukić DV, Markushev DD. Photoacoustic Characterization of TiO2 Thin-Films Deposited on Silicon Substrate Using Neural Networks. in Materials. 2023;16(7):2865.
doi:10.3390/ma16072865 .

Đorđević, Katarina Lj., Markushev, Dragana K., Popović, Marica N., Nesić, Mioljub V., Galović, Slobodanka, Lukić, Dragan V., Markushev, Dragan D., "Photoacoustic Characterization of TiO2 Thin-Films Deposited on Silicon Substrate Using Neural Networks" in Materials, 16, no. 7 (2023):2865,
https://doi.org/10.3390/ma16072865 . .

TY  - JOUR
AU  - Galović, Slobodanka
AU  - Đorđević, Katarina Lj.
AU  - Nešić, Mioljub V.
AU  - Popović, Marica N.
AU  - Markushev, Dragan D.
AU  - Markushev, Dragana K.
AU  - Todorović, Dragan M.
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11210
AB  - The model of a photoacoustic gas-microphone signal in the time domain recorded in a transmission configuration using a minimum volume cell is derived. This model takes into account the inertial thermal relaxations of both the sample and the gas filling the cell by means of the generalized hyperbolic theory of heat conduction. With the introduction of electro-thermal analogy for the thin sample and short microphone length cavity, characteristic quantities are defined, which can be used in solving the inverse problem in time-domain photoacoustic in both cases, when thermal relaxations are neglected as well as when they are considered. The derived model that includes thermal relaxation explains the experimentally observed occurrence of overshoots and undershoots as well as an oscillatory approach to the steady values of the recorded signal in high-resolution time-domain photoacoustic measurements of thin semiconductor membranes, which will be presented in detail in Paper II of the paper. © 2023 Author(s).
T2  - Journal of Applied Physics
T1  - Time-domain minimum-volume cell photoacoustic of thin semiconductor layer. I. Theory
VL  - 133
IS  - 24
SP  - 245701
DO  - 10.1063/5.0152519
ER  - 

@article{
author = "Galović, Slobodanka and Đorđević, Katarina Lj. and Nešić, Mioljub V. and Popović, Marica N. and Markushev, Dragan D. and Markushev, Dragana K. and Todorović, Dragan M.",
year = "2023",
abstract = "The model of a photoacoustic gas-microphone signal in the time domain recorded in a transmission configuration using a minimum volume cell is derived. This model takes into account the inertial thermal relaxations of both the sample and the gas filling the cell by means of the generalized hyperbolic theory of heat conduction. With the introduction of electro-thermal analogy for the thin sample and short microphone length cavity, characteristic quantities are defined, which can be used in solving the inverse problem in time-domain photoacoustic in both cases, when thermal relaxations are neglected as well as when they are considered. The derived model that includes thermal relaxation explains the experimentally observed occurrence of overshoots and undershoots as well as an oscillatory approach to the steady values of the recorded signal in high-resolution time-domain photoacoustic measurements of thin semiconductor membranes, which will be presented in detail in Paper II of the paper. © 2023 Author(s).",
journal = "Journal of Applied Physics",
title = "Time-domain minimum-volume cell photoacoustic of thin semiconductor layer. I. Theory",
volume = "133",
number = "24",
pages = "245701",
doi = "10.1063/5.0152519"
}

Galović, S., Đorđević, K. Lj., Nešić, M. V., Popović, M. N., Markushev, D. D., Markushev, D. K.,& Todorović, D. M.. (2023). Time-domain minimum-volume cell photoacoustic of thin semiconductor layer. I. Theory. in Journal of Applied Physics, 133(24), 245701.
https://doi.org/10.1063/5.0152519

Galović S, Đorđević KL, Nešić MV, Popović MN, Markushev DD, Markushev DK, Todorović DM. Time-domain minimum-volume cell photoacoustic of thin semiconductor layer. I. Theory. in Journal of Applied Physics. 2023;133(24):245701.
doi:10.1063/5.0152519 .

Galović, Slobodanka, Đorđević, Katarina Lj., Nešić, Mioljub V., Popović, Marica N., Markushev, Dragan D., Markushev, Dragana K., Todorović, Dragan M., "Time-domain minimum-volume cell photoacoustic of thin semiconductor layer. I. Theory" in Journal of Applied Physics, 133, no. 24 (2023):245701,
https://doi.org/10.1063/5.0152519 . .

TY  - CONF
AU  - Đorđević, Katarina Lj.
AU  - Galović, Slobodanka
AU  - Jordović-Pavlović, Miroslava I.
AU  - Markushev, Dragan D.
AU  - Markushev, Dragana K.
AU  - Nešić, Mioljub V.
AU  - Popović, Marica N.
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11938
AB  - The idea of this paper is to develop a method for determination thermal diffusivity, linear expansion coefficient and thickness of a semiconductor sample from photoacoustic phase measurement by using neural network. The neural network has been trained on photoacoustic phases obtained from a theoretical model of measured signal for Si n-type in the range of 20Hz to 20kHz. For the analysis of parameter determination from phases, we trained phase neural networks on a large database obtained from numerical experiments in the expected range of parameter changes. An analysis of a theoretical photoacoustic model with a phase neural network is demonstrated. The advantages of using a phase neural network with high accuracy and precision in prediction depending on the number of epochs are presented, as well as analyzes of the application of random Gaussian noise to the network in order to better predict the experimental photoacoustic signal.
C3  - Proceedings of Science
T1  - Еvaluation of Thermophysical Properties of Semiconductors by Photoacoustic Phase Neural Network
VL  - 427
SP  - 193246
DO  - 10.22323/1.427.0157
ER  - 

@conference{
author = "Đorđević, Katarina Lj. and Galović, Slobodanka and Jordović-Pavlović, Miroslava I. and Markushev, Dragan D. and Markushev, Dragana K. and Nešić, Mioljub V. and Popović, Marica N.",
year = "2023",
abstract = "The idea of this paper is to develop a method for determination thermal diffusivity, linear expansion coefficient and thickness of a semiconductor sample from photoacoustic phase measurement by using neural network. The neural network has been trained on photoacoustic phases obtained from a theoretical model of measured signal for Si n-type in the range of 20Hz to 20kHz. For the analysis of parameter determination from phases, we trained phase neural networks on a large database obtained from numerical experiments in the expected range of parameter changes. An analysis of a theoretical photoacoustic model with a phase neural network is demonstrated. The advantages of using a phase neural network with high accuracy and precision in prediction depending on the number of epochs are presented, as well as analyzes of the application of random Gaussian noise to the network in order to better predict the experimental photoacoustic signal.",
journal = "Proceedings of Science",
title = "Еvaluation of Thermophysical Properties of Semiconductors by Photoacoustic Phase Neural Network",
volume = "427",
pages = "193246",
doi = "10.22323/1.427.0157"
}

Đorđević, K. Lj., Galović, S., Jordović-Pavlović, M. I., Markushev, D. D., Markushev, D. K., Nešić, M. V.,& Popović, M. N.. (2023). Еvaluation of Thermophysical Properties of Semiconductors by Photoacoustic Phase Neural Network. in Proceedings of Science, 427, 193246.
https://doi.org/10.22323/1.427.0157

Đorđević KL, Galović S, Jordović-Pavlović MI, Markushev DD, Markushev DK, Nešić MV, Popović MN. Еvaluation of Thermophysical Properties of Semiconductors by Photoacoustic Phase Neural Network. in Proceedings of Science. 2023;427:193246.
doi:10.22323/1.427.0157 .

Đorđević, Katarina Lj., Galović, Slobodanka, Jordović-Pavlović, Miroslava I., Markushev, Dragan D., Markushev, Dragana K., Nešić, Mioljub V., Popović, Marica N., "Еvaluation of Thermophysical Properties of Semiconductors by Photoacoustic Phase Neural Network" in Proceedings of Science, 427 (2023):193246,
https://doi.org/10.22323/1.427.0157 . .

TY  - JOUR
AU  - Nešić, Mioljub V.
AU  - Popović, Marica N.
AU  - Galović, Slobodanka
AU  - Đorđević, Katarina Lj.
AU  - Jordović-Pavlović, Miroslava I.
AU  - Miletić, V. V.
AU  - Markushev, Dragan D.
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11558
AB  - In this paper, a self-consistent inverse procedure is developed for the estimation of linear thermal expansion coefficient and thermal diffusivity of solids from transmission photoacoustic measurement. This procedure consists of two single-parameter fitting processes applied alternately: phase data are fitted by shifting thermal diffusion coefficient, while amplitude data are fitted by shifting thermal expansion coefficient. Each fitting process uses the resulting parameter of the other, previously finished one, thus converging to the best solution-pair achievable. In numerical experiments, the convergence proves to be very fast. The achieved parameter estimation error is as low as 1%, and it can be lowered further more by increasing the fitting resolution in parameter space. The application of the procedure on experimentally obtained aluminum photoacoustic response (measurements) on three thickness levels returns the estimates of its thermal diffusion and thermal expansion coefficients within expected literature boundaries.
T2  - Journal of Applied Physics
T1  - Estimation of linear expansion coefficient and thermal diffusivity by photoacoustic numerical self-consistent procedure
VL  - 131
IS  - 10
SP  - 105104
DO  - 10.1063/5.0075979
ER  - 

@article{
author = "Nešić, Mioljub V. and Popović, Marica N. and Galović, Slobodanka and Đorđević, Katarina Lj. and Jordović-Pavlović, Miroslava I. and Miletić, V. V. and Markushev, Dragan D.",
year = "2022",
abstract = "In this paper, a self-consistent inverse procedure is developed for the estimation of linear thermal expansion coefficient and thermal diffusivity of solids from transmission photoacoustic measurement. This procedure consists of two single-parameter fitting processes applied alternately: phase data are fitted by shifting thermal diffusion coefficient, while amplitude data are fitted by shifting thermal expansion coefficient. Each fitting process uses the resulting parameter of the other, previously finished one, thus converging to the best solution-pair achievable. In numerical experiments, the convergence proves to be very fast. The achieved parameter estimation error is as low as 1%, and it can be lowered further more by increasing the fitting resolution in parameter space. The application of the procedure on experimentally obtained aluminum photoacoustic response (measurements) on three thickness levels returns the estimates of its thermal diffusion and thermal expansion coefficients within expected literature boundaries.",
journal = "Journal of Applied Physics",
title = "Estimation of linear expansion coefficient and thermal diffusivity by photoacoustic numerical self-consistent procedure",
volume = "131",
number = "10",
pages = "105104",
doi = "10.1063/5.0075979"
}

Nešić, M. V., Popović, M. N., Galović, S., Đorđević, K. Lj., Jordović-Pavlović, M. I., Miletić, V. V.,& Markushev, D. D.. (2022). Estimation of linear expansion coefficient and thermal diffusivity by photoacoustic numerical self-consistent procedure. in Journal of Applied Physics, 131(10), 105104.
https://doi.org/10.1063/5.0075979

Nešić MV, Popović MN, Galović S, Đorđević KL, Jordović-Pavlović MI, Miletić VV, Markushev DD. Estimation of linear expansion coefficient and thermal diffusivity by photoacoustic numerical self-consistent procedure. in Journal of Applied Physics. 2022;131(10):105104.
doi:10.1063/5.0075979 .

Nešić, Mioljub V., Popović, Marica N., Galović, Slobodanka, Đorđević, Katarina Lj., Jordović-Pavlović, Miroslava I., Miletić, V. V., Markushev, Dragan D., "Estimation of linear expansion coefficient and thermal diffusivity by photoacoustic numerical self-consistent procedure" in Journal of Applied Physics, 131, no. 10 (2022):105104,
https://doi.org/10.1063/5.0075979 . .

TY  - JOUR
AU  - Miletić, Vesna
AU  - Popović, Marica
AU  - Galović, Slobodanka
AU  - Markushev, Dragan
AU  - Kostić, Ljiljana
AU  - Nešić, Mioljub V.
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11559
AB  - This paper presents the model of surface temperature variations, resulting from the photothermal effect induced in a “thin film – highly absorbing surface layer” structure, where the thin film is irradiated. The influence of the optical absorption coefficient and sample thickness on the induced temperature gradient is analyzed. It is shown that, depending on the product of these parameters (optical absorbance) in the described structure, the phenomenon of inverse temperature gradient can occur, further influencing the direction and the magnitude of thermoelastic displacement.
AB  - U radu je prikazan model koji opisuje površinske temperaturske varijacije nastale kao posledica fototermalnog efekta u strukturi tanki film – prevlaka sa visokim koeficijentom optičke apsorpcije, gde je obasjan tanki film. Analiziran je uticaj koeficijenta optičke apsorpcije i debljine uzorka na indukovani gradijent temperature. Pokazano je da u zavisnosti od proizvoda koeficijenta optičke apsorpcije i debljine uzorka (apsorbanse uzorka), u takvoj strukturi može doći do formiranja inverznog temperaturskog gradijenta, što utiče na smer i veličinu termoelastičnog pomeraja.
T2  - Facta universitatis - series: Physics, Chemistry and Technology
T1  - Influence of non-irradiated surface optical absorber on temperature gradient induced by photothermal effect in a thin film
T1  - Uticaj optičkog apsorbera postavljenog na neobasjanu površinu tankog filma na temperaturni gradijent indukovan fototermalnim efektom
VL  - 20
IS  - 1
SP  - 67
EP  - 77
DO  - 10.2298/FUPCT2201067M
ER  - 

@article{
author = "Miletić, Vesna and Popović, Marica and Galović, Slobodanka and Markushev, Dragan and Kostić, Ljiljana and Nešić, Mioljub V.",
year = "2022",
abstract = "This paper presents the model of surface temperature variations, resulting from the photothermal effect induced in a “thin film – highly absorbing surface layer” structure, where the thin film is irradiated. The influence of the optical absorption coefficient and sample thickness on the induced temperature gradient is analyzed. It is shown that, depending on the product of these parameters (optical absorbance) in the described structure, the phenomenon of inverse temperature gradient can occur, further influencing the direction and the magnitude of thermoelastic displacement., U radu je prikazan model koji opisuje površinske temperaturske varijacije nastale kao posledica fototermalnog efekta u strukturi tanki film – prevlaka sa visokim koeficijentom optičke apsorpcije, gde je obasjan tanki film. Analiziran je uticaj koeficijenta optičke apsorpcije i debljine uzorka na indukovani gradijent temperature. Pokazano je da u zavisnosti od proizvoda koeficijenta optičke apsorpcije i debljine uzorka (apsorbanse uzorka), u takvoj strukturi može doći do formiranja inverznog temperaturskog gradijenta, što utiče na smer i veličinu termoelastičnog pomeraja.",
journal = "Facta universitatis - series: Physics, Chemistry and Technology",
title = "Influence of non-irradiated surface optical absorber on temperature gradient induced by photothermal effect in a thin film, Uticaj optičkog apsorbera postavljenog na neobasjanu površinu tankog filma na temperaturni gradijent indukovan fototermalnim efektom",
volume = "20",
number = "1",
pages = "67-77",
doi = "10.2298/FUPCT2201067M"
}

Miletić, V., Popović, M., Galović, S., Markushev, D., Kostić, L.,& Nešić, M. V.. (2022). Influence of non-irradiated surface optical absorber on temperature gradient induced by photothermal effect in a thin film. in Facta universitatis - series: Physics, Chemistry and Technology, 20(1), 67-77.
https://doi.org/10.2298/FUPCT2201067M

Miletić V, Popović M, Galović S, Markushev D, Kostić L, Nešić MV. Influence of non-irradiated surface optical absorber on temperature gradient induced by photothermal effect in a thin film. in Facta universitatis - series: Physics, Chemistry and Technology. 2022;20(1):67-77.
doi:10.2298/FUPCT2201067M .

Miletić, Vesna, Popović, Marica, Galović, Slobodanka, Markushev, Dragan, Kostić, Ljiljana, Nešić, Mioljub V., "Influence of non-irradiated surface optical absorber on temperature gradient induced by photothermal effect in a thin film" in Facta universitatis - series: Physics, Chemistry and Technology, 20, no. 1 (2022):67-77,
https://doi.org/10.2298/FUPCT2201067M . .

TY  - JOUR
AU  - Đorđević, Katarina Lj.
AU  - Jordović-Pavlović, Miroslava I.
AU  - Ćojbašić, Ž. M.
AU  - Galović, Slobodanka
AU  - Popović, Marica N.
AU  - Nešić, Mioljub V.
AU  - Markushev, Dragan D.
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10359
AB  - In this paper, the influence of the input and output data scaling and normalization on the neural network overall performances is investigated aimed at inverse problem-solving in photoacoustics of semiconductors. The logarithmic scaling of the photoacoustic signal amplitudes as input data and numerical scaling of the sample thermal parameters as output data are presented as useful tools trying to reach maximal network precision. Max and min–max normalizations to the input data are presented to change their numerical values in the dataset to common scales, without distorting differences. It was demonstrated in theory that the largest network prediction error of all targeted parameters is obtained by a network with non-scaled output data. Also, it was found out that the best network prediction was achieved with min–max normalization of the input data and network predicted output data scale within the range of [1–10]. Network training and prediction performances analyzed with experimental input data show that the benefits and improvements of input and output scaling and normalization are not guaranteed but are strongly dependent on a specific problem to be solved.
T2  - Optical and Quantum Electronics
T1  - Influence of data scaling and normalization on overall neural network performances in photoacoustics
VL  - 54
IS  - 8
SP  - 501
DO  - 10.1007/s11082-022-03799-1
ER  - 

@article{
author = "Đorđević, Katarina Lj. and Jordović-Pavlović, Miroslava I. and Ćojbašić, Ž. M. and Galović, Slobodanka and Popović, Marica N. and Nešić, Mioljub V. and Markushev, Dragan D.",
year = "2022",
abstract = "In this paper, the influence of the input and output data scaling and normalization on the neural network overall performances is investigated aimed at inverse problem-solving in photoacoustics of semiconductors. The logarithmic scaling of the photoacoustic signal amplitudes as input data and numerical scaling of the sample thermal parameters as output data are presented as useful tools trying to reach maximal network precision. Max and min–max normalizations to the input data are presented to change their numerical values in the dataset to common scales, without distorting differences. It was demonstrated in theory that the largest network prediction error of all targeted parameters is obtained by a network with non-scaled output data. Also, it was found out that the best network prediction was achieved with min–max normalization of the input data and network predicted output data scale within the range of [1–10]. Network training and prediction performances analyzed with experimental input data show that the benefits and improvements of input and output scaling and normalization are not guaranteed but are strongly dependent on a specific problem to be solved.",
journal = "Optical and Quantum Electronics",
title = "Influence of data scaling and normalization on overall neural network performances in photoacoustics",
volume = "54",
number = "8",
pages = "501",
doi = "10.1007/s11082-022-03799-1"
}

Đorđević, K. Lj., Jordović-Pavlović, M. I., Ćojbašić, Ž. M., Galović, S., Popović, M. N., Nešić, M. V.,& Markushev, D. D.. (2022). Influence of data scaling and normalization on overall neural network performances in photoacoustics. in Optical and Quantum Electronics, 54(8), 501.
https://doi.org/10.1007/s11082-022-03799-1

Đorđević KL, Jordović-Pavlović MI, Ćojbašić ŽM, Galović S, Popović MN, Nešić MV, Markushev DD. Influence of data scaling and normalization on overall neural network performances in photoacoustics. in Optical and Quantum Electronics. 2022;54(8):501.
doi:10.1007/s11082-022-03799-1 .

Đorđević, Katarina Lj., Jordović-Pavlović, Miroslava I., Ćojbašić, Ž. M., Galović, Slobodanka, Popović, Marica N., Nešić, Mioljub V., Markushev, Dragan D., "Influence of data scaling and normalization on overall neural network performances in photoacoustics" in Optical and Quantum Electronics, 54, no. 8 (2022):501,
https://doi.org/10.1007/s11082-022-03799-1 . .

TY  - JOUR
AU  - Đorđević, Кatarina Lj.
AU  - Galović, Slobodanka
AU  - Popović, Marica N.
AU  - Nešić, Mioljub V.
AU  - Stanimirović, Ivanka P.
AU  - Stanimirović, Zdravko
AU  - Markushev, Dragan D.
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10364
AB  - The objective of this paper is to present methodology of the precise and reliable determination of thermal diffusivity and linear coefficient of thermal expansion of the photoacoustic signal recorded (obtained) using open photoacoustic cell where thickness of the sample served as a control parameter. The methodology was based on the application of neural networks that were trained on numerical experiments and optimized by adding Gaussian noise to the training base that corresponded in percentage to maximum measurement uncertainty. By comparing the predictions of the neural network with theoretical fitting curve for experimental results for the aluminum sample that was 197 μm thick, it was shown that the proposed methodology achieves high precision in the determination of thermoelastic and geometrical properties of the sample.
T2  - Measurement
T1  - Use neural network in photoacoustic measurement of thermoelastic properties of aluminum foil
VL  - 199
SP  - 111537
DO  - 10.1016/j.measurement.2022.111537
ER  - 

@article{
author = "Đorđević, Кatarina Lj. and Galović, Slobodanka and Popović, Marica N. and Nešić, Mioljub V. and Stanimirović, Ivanka P. and Stanimirović, Zdravko and Markushev, Dragan D.",
year = "2022",
abstract = "The objective of this paper is to present methodology of the precise and reliable determination of thermal diffusivity and linear coefficient of thermal expansion of the photoacoustic signal recorded (obtained) using open photoacoustic cell where thickness of the sample served as a control parameter. The methodology was based on the application of neural networks that were trained on numerical experiments and optimized by adding Gaussian noise to the training base that corresponded in percentage to maximum measurement uncertainty. By comparing the predictions of the neural network with theoretical fitting curve for experimental results for the aluminum sample that was 197 μm thick, it was shown that the proposed methodology achieves high precision in the determination of thermoelastic and geometrical properties of the sample.",
journal = "Measurement",
title = "Use neural network in photoacoustic measurement of thermoelastic properties of aluminum foil",
volume = "199",
pages = "111537",
doi = "10.1016/j.measurement.2022.111537"
}

Đorđević, К. Lj., Galović, S., Popović, M. N., Nešić, M. V., Stanimirović, I. P., Stanimirović, Z.,& Markushev, D. D.. (2022). Use neural network in photoacoustic measurement of thermoelastic properties of aluminum foil. in Measurement, 199, 111537.
https://doi.org/10.1016/j.measurement.2022.111537

Đorđević КL, Galović S, Popović MN, Nešić MV, Stanimirović IP, Stanimirović Z, Markushev DD. Use neural network in photoacoustic measurement of thermoelastic properties of aluminum foil. in Measurement. 2022;199:111537.
doi:10.1016/j.measurement.2022.111537 .

Đorđević, Кatarina Lj., Galović, Slobodanka, Popović, Marica N., Nešić, Mioljub V., Stanimirović, Ivanka P., Stanimirović, Zdravko, Markushev, Dragan D., "Use neural network in photoacoustic measurement of thermoelastic properties of aluminum foil" in Measurement, 199 (2022):111537,
https://doi.org/10.1016/j.measurement.2022.111537 . .

TY  - JOUR
AU  - Somer, Aloisi
AU  - Popović, Marica N.
AU  - da Cruz, Gerson Kniphoff
AU  - Novatski, Andressa
AU  - Lenzi, Ervin Kaminski
AU  - Galović, Slobodanka
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10293
AB  - We analyze the influence of the generalizations of hyperbolic (Cattaneo) heat equations (GCE) on temperature profile and photoacoustic signal for the two-layer samples. The GCE extensions employ fractional-order derivatives related to the anomalous thermal diffusion in solid. We compare the superdiffusive (GCEII) and subdiffusive (GCEIII) generalizations with the classical and hyperbolic results. To show the fractional-order influence on results, we analyze opaque layers of aluminum with dye by considering only the last one with the anomalous characteristic. The promising results show that minor variations in fractional order and relaxation time can influence the photoacoustic signal.
T2  - International Journal of Thermal Sciences
T1  - Anomalous thermal diffusion in two-layer system: The temperature profile and photoacoustic signal for rear light incidence
VL  - 179
SP  - 107661
DO  - 10.1016/j.ijthermalsci.2022.107661
ER  - 

@article{
author = "Somer, Aloisi and Popović, Marica N. and da Cruz, Gerson Kniphoff and Novatski, Andressa and Lenzi, Ervin Kaminski and Galović, Slobodanka",
year = "2022",
abstract = "We analyze the influence of the generalizations of hyperbolic (Cattaneo) heat equations (GCE) on temperature profile and photoacoustic signal for the two-layer samples. The GCE extensions employ fractional-order derivatives related to the anomalous thermal diffusion in solid. We compare the superdiffusive (GCEII) and subdiffusive (GCEIII) generalizations with the classical and hyperbolic results. To show the fractional-order influence on results, we analyze opaque layers of aluminum with dye by considering only the last one with the anomalous characteristic. The promising results show that minor variations in fractional order and relaxation time can influence the photoacoustic signal.",
journal = "International Journal of Thermal Sciences",
title = "Anomalous thermal diffusion in two-layer system: The temperature profile and photoacoustic signal for rear light incidence",
volume = "179",
pages = "107661",
doi = "10.1016/j.ijthermalsci.2022.107661"
}

Somer, A., Popović, M. N., da Cruz, G. K., Novatski, A., Lenzi, E. K.,& Galović, S.. (2022). Anomalous thermal diffusion in two-layer system: The temperature profile and photoacoustic signal for rear light incidence. in International Journal of Thermal Sciences, 179, 107661.
https://doi.org/10.1016/j.ijthermalsci.2022.107661

Somer A, Popović MN, da Cruz GK, Novatski A, Lenzi EK, Galović S. Anomalous thermal diffusion in two-layer system: The temperature profile and photoacoustic signal for rear light incidence. in International Journal of Thermal Sciences. 2022;179:107661.
doi:10.1016/j.ijthermalsci.2022.107661 .

Somer, Aloisi, Popović, Marica N., da Cruz, Gerson Kniphoff, Novatski, Andressa, Lenzi, Ervin Kaminski, Galović, Slobodanka, "Anomalous thermal diffusion in two-layer system: The temperature profile and photoacoustic signal for rear light incidence" in International Journal of Thermal Sciences, 179 (2022):107661,
https://doi.org/10.1016/j.ijthermalsci.2022.107661 . .

TY  - JOUR
AU  - Aleksić, Sanja M.
AU  - Markushev, Dragana K.
AU  - Markushev, Dragan D.
AU  - Pantić, Dragan S.
AU  - Lukić, D. V.
AU  - Popović, Marica N.
AU  - Galović, Slobodanka
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10166
AB  - This paper describes the influence of thin transparent film on thermal and elastic characteristics of the two-layer sample consisting of the silicon substrate and thin TiO2 film using analysis of photoacoustic signals and their components in the 20 Hz – 20 kHz frequency domain. Through thermoelastic component changes, it was found that the thin film significantly changes the thermal state of the substrate and makes the degree of its bending increase drastically. The relationships between the thermoelastic component, the displacement along the heat flux axis and the difference of carrier density and temperatures on the different sides of the sample are described. It has been shown that the addition of a thin transparent film to a silicon substrate can effectively reduce the influence of photogenerated carriers in the substrate, especially on its degree of flexibility and restore it efficiently.
T2  - Silicon
T1  - Photoacoustic Analysis of Illuminated Si-TiO2 Sample Bending Along the Heat-Flow Axes
DO  - 10.1007/s12633-022-01723-6
ER  - 

@article{
author = "Aleksić, Sanja M. and Markushev, Dragana K. and Markushev, Dragan D. and Pantić, Dragan S. and Lukić, D. V. and Popović, Marica N. and Galović, Slobodanka",
year = "2022",
abstract = "This paper describes the influence of thin transparent film on thermal and elastic characteristics of the two-layer sample consisting of the silicon substrate and thin TiO2 film using analysis of photoacoustic signals and their components in the 20 Hz – 20 kHz frequency domain. Through thermoelastic component changes, it was found that the thin film significantly changes the thermal state of the substrate and makes the degree of its bending increase drastically. The relationships between the thermoelastic component, the displacement along the heat flux axis and the difference of carrier density and temperatures on the different sides of the sample are described. It has been shown that the addition of a thin transparent film to a silicon substrate can effectively reduce the influence of photogenerated carriers in the substrate, especially on its degree of flexibility and restore it efficiently.",
journal = "Silicon",
title = "Photoacoustic Analysis of Illuminated Si-TiO2 Sample Bending Along the Heat-Flow Axes",
doi = "10.1007/s12633-022-01723-6"
}

Aleksić, S. M., Markushev, D. K., Markushev, D. D., Pantić, D. S., Lukić, D. V., Popović, M. N.,& Galović, S.. (2022). Photoacoustic Analysis of Illuminated Si-TiO2 Sample Bending Along the Heat-Flow Axes. in Silicon.
https://doi.org/10.1007/s12633-022-01723-6

Aleksić SM, Markushev DK, Markushev DD, Pantić DS, Lukić DV, Popović MN, Galović S. Photoacoustic Analysis of Illuminated Si-TiO2 Sample Bending Along the Heat-Flow Axes. in Silicon. 2022;.
doi:10.1007/s12633-022-01723-6 .

Aleksić, Sanja M., Markushev, Dragana K., Markushev, Dragan D., Pantić, Dragan S., Lukić, D. V., Popović, Marica N., Galović, Slobodanka, "Photoacoustic Analysis of Illuminated Si-TiO2 Sample Bending Along the Heat-Flow Axes" in Silicon (2022),
https://doi.org/10.1007/s12633-022-01723-6 . .

TY  - JOUR
AU  - Đorđević, Katarina Lj.
AU  - Miličević, Dejan S.
AU  - Galović, Slobodanka
AU  - Suljovrujić, Edin H.
AU  - Jaćimovski, Stevo K.
AU  - Furundžić, Draško
AU  - Popović, Marica N.
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10196
AB  - The paper presents a generalized model of the photothermal response of a polymer sample. The model is based on a linear non-Fourier heat conduction equation that considers thermal memory and complex heat capacity. The physical meaning of imaginary heat capacity is discussed from the point of view of non-equilibrium thermodynamics. The derived heat conduction equation introduces two additional dynamic properties of a medium to time-varying heat conduction: inertial and kinetic relaxation time. The influence of these relaxation times on photothermal response is analyzed. It is shown that the derived model could explain the measured photoacoustic response of different semi-crystalline polyethylenes (PEs). The obtained results show that photothermal techniques can be employed to estimate relaxation phenomena in polymeric materials when the frequency scale of the experiment is greater than the inverse value of any relaxation time. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
T2  - International Journal of Thermophysics
T1  - Photothermal Response of Polymeric Materials Including Complex Heat Capacity
VL  - 43
IS  - 5
SP  - 68
DO  - 10.1007/s10765-022-02985-3
ER  - 

@article{
author = "Đorđević, Katarina Lj. and Miličević, Dejan S. and Galović, Slobodanka and Suljovrujić, Edin H. and Jaćimovski, Stevo K. and Furundžić, Draško and Popović, Marica N.",
year = "2022",
abstract = "The paper presents a generalized model of the photothermal response of a polymer sample. The model is based on a linear non-Fourier heat conduction equation that considers thermal memory and complex heat capacity. The physical meaning of imaginary heat capacity is discussed from the point of view of non-equilibrium thermodynamics. The derived heat conduction equation introduces two additional dynamic properties of a medium to time-varying heat conduction: inertial and kinetic relaxation time. The influence of these relaxation times on photothermal response is analyzed. It is shown that the derived model could explain the measured photoacoustic response of different semi-crystalline polyethylenes (PEs). The obtained results show that photothermal techniques can be employed to estimate relaxation phenomena in polymeric materials when the frequency scale of the experiment is greater than the inverse value of any relaxation time. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.",
journal = "International Journal of Thermophysics",
title = "Photothermal Response of Polymeric Materials Including Complex Heat Capacity",
volume = "43",
number = "5",
pages = "68",
doi = "10.1007/s10765-022-02985-3"
}

Đorđević, K. Lj., Miličević, D. S., Galović, S., Suljovrujić, E. H., Jaćimovski, S. K., Furundžić, D.,& Popović, M. N.. (2022). Photothermal Response of Polymeric Materials Including Complex Heat Capacity. in International Journal of Thermophysics, 43(5), 68.
https://doi.org/10.1007/s10765-022-02985-3

Đorđević KL, Miličević DS, Galović S, Suljovrujić EH, Jaćimovski SK, Furundžić D, Popović MN. Photothermal Response of Polymeric Materials Including Complex Heat Capacity. in International Journal of Thermophysics. 2022;43(5):68.
doi:10.1007/s10765-022-02985-3 .

Đorđević, Katarina Lj., Miličević, Dejan S., Galović, Slobodanka, Suljovrujić, Edin H., Jaćimovski, Stevo K., Furundžić, Draško, Popović, Marica N., "Photothermal Response of Polymeric Materials Including Complex Heat Capacity" in International Journal of Thermophysics, 43, no. 5 (2022):68,
https://doi.org/10.1007/s10765-022-02985-3 . .

TY  - CONF
AU  - Popović, Marica N.
AU  - Nešić, Mioljub V.
AU  - Galović, Slobodanka
AU  - Đorđević, Katarina Lj.
AU  - Markushev, Dragan D.
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10906
AB  - In the transmision photoacoustic measurements of transparent samples, using minimum volume cell configuration, a thin protective layer is applied on one surface of the examined samples in order to protect the microphone. The influence of this layer on the recorded photoacoustic response is examined. In this paper, the models of photoacoustic (PA) response for transmission PA setup configurations of two-layered optically transparent samples with thermal memory are analyzed. When the protective layer is illuminated, its influence is significant at high modulation frequencies and it has to be considered in the analysis of the recorded signal. When the layer is not illuminated, its influence is lost.
PB  - Belgrade : Institute of Physics Belgrade
C3  - PHOTONICA2021 : 8th International School and Conference on Photonics and HEMMAGINERO workshop : Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers; August 23-27, 2021; Belgrade
T1  - Influence of the protective layer on the photoacoustic response of transparent samples
SP  - 85
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10906
ER  - 

@conference{
author = "Popović, Marica N. and Nešić, Mioljub V. and Galović, Slobodanka and Đorđević, Katarina Lj. and Markushev, Dragan D.",
year = "2021",
abstract = "In the transmision photoacoustic measurements of transparent samples, using minimum volume cell configuration, a thin protective layer is applied on one surface of the examined samples in order to protect the microphone. The influence of this layer on the recorded photoacoustic response is examined. In this paper, the models of photoacoustic (PA) response for transmission PA setup configurations of two-layered optically transparent samples with thermal memory are analyzed. When the protective layer is illuminated, its influence is significant at high modulation frequencies and it has to be considered in the analysis of the recorded signal. When the layer is not illuminated, its influence is lost.",
publisher = "Belgrade : Institute of Physics Belgrade",
journal = "PHOTONICA2021 : 8th International School and Conference on Photonics and HEMMAGINERO workshop : Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers; August 23-27, 2021; Belgrade",
title = "Influence of the protective layer on the photoacoustic response of transparent samples",
pages = "85",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10906"
}

Popović, M. N., Nešić, M. V., Galović, S., Đorđević, K. Lj.,& Markushev, D. D.. (2021). Influence of the protective layer on the photoacoustic response of transparent samples. in PHOTONICA2021 : 8th International School and Conference on Photonics and HEMMAGINERO workshop : Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers; August 23-27, 2021; Belgrade
Belgrade : Institute of Physics Belgrade., 85.
https://hdl.handle.net/21.15107/rcub_vinar_10906

Popović MN, Nešić MV, Galović S, Đorđević KL, Markushev DD. Influence of the protective layer on the photoacoustic response of transparent samples. in PHOTONICA2021 : 8th International School and Conference on Photonics and HEMMAGINERO workshop : Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers; August 23-27, 2021; Belgrade. 2021;:85.
https://hdl.handle.net/21.15107/rcub_vinar_10906 .

Popović, Marica N., Nešić, Mioljub V., Galović, Slobodanka, Đorđević, Katarina Lj., Markushev, Dragan D., "Influence of the protective layer on the photoacoustic response of transparent samples" in PHOTONICA2021 : 8th International School and Conference on Photonics and HEMMAGINERO workshop : Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers; August 23-27, 2021; Belgrade (2021):85,
https://hdl.handle.net/21.15107/rcub_vinar_10906 .

TY  - CONF
AU  - Đorđević, Katarina Lj.
AU  - Jordović-Pavlović, Miroslava I.
AU  - Ćojbašić, Ž. M.
AU  - Galović, Slobodanka
AU  - Popović, Marica N.
AU  - Nešić, Mioljub V.
AU  - Markushev, Dragan D.
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10918
AB  - In our previous articles [1,2] we have shown that the application of artificial neural networks (ANNs) in photoacoustics could improve experimental procedures in many ways: better accuracy and precision in investigated sample parameters prediction, better control of the experimental conditions together with approaching to the real-time characterization of the investigated sample, etc. Here we will try to show why the different types of scaling and normalization procedures could be beneficial to the accuracy, precision and numerical stability of the network predicted parameters and network training speed. To do that numerical (Fig.1) or logarithmic scaling and min-max and max normalizations are applied on experimental input data used in the ANNs training process. At the same time, specific numerical scaling is used for network output data (predicted sample thermal and geometric parameters such as thermal diffusivity, linear coefficient of thermal expansion, thickness) to find possible benefits to ANNs performances. Our analysis of training, stability, and accuracy of network prediction will rely on the ANNs trained with or without scaling and/or normalization to find their influence on overall network performances.
PB  - Belgrade : Institute of Physics Belgrade
C3  - PHOTONICA2021 : 8th International School and Conference on Photonics and HEMMAGINERO workshop : Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers; August 23-27, 2021; Belgrade
T1  - Influence of data scaling and normalization on overall neural network performances in photoacoustics
SP  - 173
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10918
ER  - 

@conference{
author = "Đorđević, Katarina Lj. and Jordović-Pavlović, Miroslava I. and Ćojbašić, Ž. M. and Galović, Slobodanka and Popović, Marica N. and Nešić, Mioljub V. and Markushev, Dragan D.",
year = "2021",
abstract = "In our previous articles [1,2] we have shown that the application of artificial neural networks (ANNs) in photoacoustics could improve experimental procedures in many ways: better accuracy and precision in investigated sample parameters prediction, better control of the experimental conditions together with approaching to the real-time characterization of the investigated sample, etc. Here we will try to show why the different types of scaling and normalization procedures could be beneficial to the accuracy, precision and numerical stability of the network predicted parameters and network training speed. To do that numerical (Fig.1) or logarithmic scaling and min-max and max normalizations are applied on experimental input data used in the ANNs training process. At the same time, specific numerical scaling is used for network output data (predicted sample thermal and geometric parameters such as thermal diffusivity, linear coefficient of thermal expansion, thickness) to find possible benefits to ANNs performances. Our analysis of training, stability, and accuracy of network prediction will rely on the ANNs trained with or without scaling and/or normalization to find their influence on overall network performances.",
publisher = "Belgrade : Institute of Physics Belgrade",
journal = "PHOTONICA2021 : 8th International School and Conference on Photonics and HEMMAGINERO workshop : Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers; August 23-27, 2021; Belgrade",
title = "Influence of data scaling and normalization on overall neural network performances in photoacoustics",
pages = "173",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10918"
}

Đorđević, K. Lj., Jordović-Pavlović, M. I., Ćojbašić, Ž. M., Galović, S., Popović, M. N., Nešić, M. V.,& Markushev, D. D.. (2021). Influence of data scaling and normalization on overall neural network performances in photoacoustics. in PHOTONICA2021 : 8th International School and Conference on Photonics and HEMMAGINERO workshop : Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers; August 23-27, 2021; Belgrade
Belgrade : Institute of Physics Belgrade., 173.
https://hdl.handle.net/21.15107/rcub_vinar_10918

Đorđević KL, Jordović-Pavlović MI, Ćojbašić ŽM, Galović S, Popović MN, Nešić MV, Markushev DD. Influence of data scaling and normalization on overall neural network performances in photoacoustics. in PHOTONICA2021 : 8th International School and Conference on Photonics and HEMMAGINERO workshop : Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers; August 23-27, 2021; Belgrade. 2021;:173.
https://hdl.handle.net/21.15107/rcub_vinar_10918 .

Đorđević, Katarina Lj., Jordović-Pavlović, Miroslava I., Ćojbašić, Ž. M., Galović, Slobodanka, Popović, Marica N., Nešić, Mioljub V., Markushev, Dragan D., "Influence of data scaling and normalization on overall neural network performances in photoacoustics" in PHOTONICA2021 : 8th International School and Conference on Photonics and HEMMAGINERO workshop : Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers; August 23-27, 2021; Belgrade (2021):173,
https://hdl.handle.net/21.15107/rcub_vinar_10918 .

TY  - JOUR
AU  - Nešić, Mioljub
AU  - Popović, Marica
AU  - Đorđević, Katarina
AU  - Miletić, Vedran
AU  - Jordović-Pavlović, Miroslava
AU  - Markushev, Dragan
AU  - Galović, Slobodanka
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11865
AB  - In this work, theoretically/mathematically simulated (TMS) model is presented for the photoacoustic (PA) frequency response of a semiconductor in a minimum volume PA cell. By analyzing of the TMS model, the infuences of thermal difusivity and linear coefcient of thermal expansion on silicon sample PA frequency response were investigated and two methods were developed for their estimation. The frst one is a self consistent inverse procedure for solving the exponential problems of mathematical physics, based on regression. The second one, a well trained three-layer perceptron with back propagation, based upon theory of artifcial neural networks, is developed and presented. These two inverse problem solving concepts are applied to thermo-elastic characterization of silicon, compared and discussed in the domain of semiconductor characterization.
T2  - Optical and Quantum Electronics
T1  - Development and comparison of the techniques for solving the inverse problem in photoacoustic characterization of semiconductors
VL  - 53
IS  - 7
DO  - 10.1007/s11082-021-02958-0
ER  - 

@article{
author = "Nešić, Mioljub and Popović, Marica and Đorđević, Katarina and Miletić, Vedran and Jordović-Pavlović, Miroslava and Markushev, Dragan and Galović, Slobodanka",
year = "2021",
abstract = "In this work, theoretically/mathematically simulated (TMS) model is presented for the photoacoustic (PA) frequency response of a semiconductor in a minimum volume PA cell. By analyzing of the TMS model, the infuences of thermal difusivity and linear coefcient of thermal expansion on silicon sample PA frequency response were investigated and two methods were developed for their estimation. The frst one is a self consistent inverse procedure for solving the exponential problems of mathematical physics, based on regression. The second one, a well trained three-layer perceptron with back propagation, based upon theory of artifcial neural networks, is developed and presented. These two inverse problem solving concepts are applied to thermo-elastic characterization of silicon, compared and discussed in the domain of semiconductor characterization.",
journal = "Optical and Quantum Electronics",
title = "Development and comparison of the techniques for solving the inverse problem in photoacoustic characterization of semiconductors",
volume = "53",
number = "7",
doi = "10.1007/s11082-021-02958-0"
}

Nešić, M., Popović, M., Đorđević, K., Miletić, V., Jordović-Pavlović, M., Markushev, D.,& Galović, S.. (2021). Development and comparison of the techniques for solving the inverse problem in photoacoustic characterization of semiconductors. in Optical and Quantum Electronics, 53(7).
https://doi.org/10.1007/s11082-021-02958-0

Nešić M, Popović M, Đorđević K, Miletić V, Jordović-Pavlović M, Markushev D, Galović S. Development and comparison of the techniques for solving the inverse problem in photoacoustic characterization of semiconductors. in Optical and Quantum Electronics. 2021;53(7).
doi:10.1007/s11082-021-02958-0 .

Nešić, Mioljub, Popović, Marica, Đorđević, Katarina, Miletić, Vedran, Jordović-Pavlović, Miroslava, Markushev, Dragan, Galović, Slobodanka, "Development and comparison of the techniques for solving the inverse problem in photoacoustic characterization of semiconductors" in Optical and Quantum Electronics, 53, no. 7 (2021),
https://doi.org/10.1007/s11082-021-02958-0 . .

TY  - JOUR
AU  - Jordović-Pavlović, Miroslava I.
AU  - Markushev, Dragan D.
AU  - Kupusinac, Aleksandar
AU  - Đorđević, Katarina Lj.
AU  - Nešić, Mioljub V.
AU  - Galović, Slobodanka
AU  - Popović, Marica N.
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8912
AB  - In this paper, a methodology for the application of neural networks in phase-match calibration of gas–microphone photoacoustics in frequency domain is developed. A two-layer deep neural network is used to determine, in real-time, reliably and accurately, the phase transfer function of the used microphone, applying the photoacoustic response of aluminum as reference material. This transfer function was used to correct the photoacoustic response of laser-sintered polyamide and to compare it with theoretical predictions. The obtained degree of correlation of the corrected and theoretical signal tells us that our method of phase-match calibration in photoacoustics can be generalized to a photoacoustic response coming from a solid sample made of different materials.
T2  - International Journal of Thermophysics
T1  - Deep Neural Network Application in the Phase-Match Calibration of Gas–Microphone Photoacoustics
VL  - 41
IS  - 6
SP  - 73
DO  - 10.1007/s10765-020-02650-7
ER  - 

@article{
author = "Jordović-Pavlović, Miroslava I. and Markushev, Dragan D. and Kupusinac, Aleksandar and Đorđević, Katarina Lj. and Nešić, Mioljub V. and Galović, Slobodanka and Popović, Marica N.",
year = "2020",
abstract = "In this paper, a methodology for the application of neural networks in phase-match calibration of gas–microphone photoacoustics in frequency domain is developed. A two-layer deep neural network is used to determine, in real-time, reliably and accurately, the phase transfer function of the used microphone, applying the photoacoustic response of aluminum as reference material. This transfer function was used to correct the photoacoustic response of laser-sintered polyamide and to compare it with theoretical predictions. The obtained degree of correlation of the corrected and theoretical signal tells us that our method of phase-match calibration in photoacoustics can be generalized to a photoacoustic response coming from a solid sample made of different materials.",
journal = "International Journal of Thermophysics",
title = "Deep Neural Network Application in the Phase-Match Calibration of Gas–Microphone Photoacoustics",
volume = "41",
number = "6",
pages = "73",
doi = "10.1007/s10765-020-02650-7"
}

Jordović-Pavlović, M. I., Markushev, D. D., Kupusinac, A., Đorđević, K. Lj., Nešić, M. V., Galović, S.,& Popović, M. N.. (2020). Deep Neural Network Application in the Phase-Match Calibration of Gas–Microphone Photoacoustics. in International Journal of Thermophysics, 41(6), 73.
https://doi.org/10.1007/s10765-020-02650-7

Jordović-Pavlović MI, Markushev DD, Kupusinac A, Đorđević KL, Nešić MV, Galović S, Popović MN. Deep Neural Network Application in the Phase-Match Calibration of Gas–Microphone Photoacoustics. in International Journal of Thermophysics. 2020;41(6):73.
doi:10.1007/s10765-020-02650-7 .

Jordović-Pavlović, Miroslava I., Markushev, Dragan D., Kupusinac, Aleksandar, Đorđević, Katarina Lj., Nešić, Mioljub V., Galović, Slobodanka, Popović, Marica N., "Deep Neural Network Application in the Phase-Match Calibration of Gas–Microphone Photoacoustics" in International Journal of Thermophysics, 41, no. 6 (2020):73,
https://doi.org/10.1007/s10765-020-02650-7 . .

TY  - JOUR
AU  - Đorđević, Katarina Lj.
AU  - Galović, Slobodanka
AU  - Jordović-Pavlović, Miroslava I.
AU  - Nešić, Mioljub V.
AU  - Popović, Marica N.
AU  - Ćojbašić, Žarko М.
AU  - Markushev, Dragan D.
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8972
AB  - This paper introduces the possibility of the determination of optical absorption and reflexivity coefficient of silicon samples using neural networks and reverse-back procedure based on the photoacoustics response in the frequency domain. Differences between neural network predictions and parameters obtained with standard photoacoustic signal correction procedures are used to adjust our experimental set-up due to the instability of the optical excitation source and the state (contamination) of the illuminated surface. It has been shown that the changes of the optical absorption values correspond to the light source wavelength fluctuations, while changes in the reflexivity coefficient, obtained in this way, correspond to the small effect of the ultrathin layer formation of SiO2 due to the natural process of surface oxidation.
T2  - Optical and Quantum Electronics
T1  - Photoacoustic optical semiconductor characterization based on machine learning and reverse-back procedure
VL  - 52
IS  - 5
SP  - 247
DO  - 10.1007/s11082-020-02373-x
ER  - 

@article{
author = "Đorđević, Katarina Lj. and Galović, Slobodanka and Jordović-Pavlović, Miroslava I. and Nešić, Mioljub V. and Popović, Marica N. and Ćojbašić, Žarko М. and Markushev, Dragan D.",
year = "2020",
abstract = "This paper introduces the possibility of the determination of optical absorption and reflexivity coefficient of silicon samples using neural networks and reverse-back procedure based on the photoacoustics response in the frequency domain. Differences between neural network predictions and parameters obtained with standard photoacoustic signal correction procedures are used to adjust our experimental set-up due to the instability of the optical excitation source and the state (contamination) of the illuminated surface. It has been shown that the changes of the optical absorption values correspond to the light source wavelength fluctuations, while changes in the reflexivity coefficient, obtained in this way, correspond to the small effect of the ultrathin layer formation of SiO2 due to the natural process of surface oxidation.",
journal = "Optical and Quantum Electronics",
title = "Photoacoustic optical semiconductor characterization based on machine learning and reverse-back procedure",
volume = "52",
number = "5",
pages = "247",
doi = "10.1007/s11082-020-02373-x"
}

Đorđević, K. Lj., Galović, S., Jordović-Pavlović, M. I., Nešić, M. V., Popović, M. N., Ćojbašić, Ž. М.,& Markushev, D. D.. (2020). Photoacoustic optical semiconductor characterization based on machine learning and reverse-back procedure. in Optical and Quantum Electronics, 52(5), 247.
https://doi.org/10.1007/s11082-020-02373-x

Đorđević KL, Galović S, Jordović-Pavlović MI, Nešić MV, Popović MN, Ćojbašić ŽМ, Markushev DD. Photoacoustic optical semiconductor characterization based on machine learning and reverse-back procedure. in Optical and Quantum Electronics. 2020;52(5):247.
doi:10.1007/s11082-020-02373-x .

Đorđević, Katarina Lj., Galović, Slobodanka, Jordović-Pavlović, Miroslava I., Nešić, Mioljub V., Popović, Marica N., Ćojbašić, Žarko М., Markushev, Dragan D., "Photoacoustic optical semiconductor characterization based on machine learning and reverse-back procedure" in Optical and Quantum Electronics, 52, no. 5 (2020):247,
https://doi.org/10.1007/s11082-020-02373-x . .

TY  - JOUR
AU  - Jordović-Pavlović, Miroslava I.
AU  - Kupusinac, Aleksandar
AU  - Đorđević, Katarina Lj.
AU  - Galović, Slobodanka
AU  - Markushev, Dragan D.
AU  - Nešić, Mioljub V.
AU  - Popović, Marica N.
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8982
AB  - In this article, a method for determination of photoacoustic detector transfer function as an accurate representation of microphone frequency response is presented. The method is based on supervised machine learning techniques, classification and regression, performed by two artificial neural networks. The transfer function is obtained by determining the microphone type and characteristic parameters closely related to its filtering properties. This knowledge is crucial within the signal correction procedure. The method is carefully designed in order to maintain requirements of photoacoustic experiment accuracy, reliability and real-time performance. The networks training is performed using large base of theoretical signals simulating frequency response of three types of commercial electret microphones frequently used in photoacoustic measurements extended with possible flat response of the so-called ideal microphone. The method test is performed with simulated and experimental signals assuming the usage of open-cell photoacoustic set-up. Experimental testing leads to the microphone transfer function determination used to correct the experimental signals, targeting the “true” undistorted photoacoustic response which can be further used in material characterization process.
T2  - Optical and Quantum Electronics
T1  - Computationally intelligent description of a photoacoustic detector
VL  - 52
IS  - 5
SP  - 246
DO  - 10.1007/s11082-020-02372-y
ER  - 

@article{
author = "Jordović-Pavlović, Miroslava I. and Kupusinac, Aleksandar and Đorđević, Katarina Lj. and Galović, Slobodanka and Markushev, Dragan D. and Nešić, Mioljub V. and Popović, Marica N.",
year = "2020",
abstract = "In this article, a method for determination of photoacoustic detector transfer function as an accurate representation of microphone frequency response is presented. The method is based on supervised machine learning techniques, classification and regression, performed by two artificial neural networks. The transfer function is obtained by determining the microphone type and characteristic parameters closely related to its filtering properties. This knowledge is crucial within the signal correction procedure. The method is carefully designed in order to maintain requirements of photoacoustic experiment accuracy, reliability and real-time performance. The networks training is performed using large base of theoretical signals simulating frequency response of three types of commercial electret microphones frequently used in photoacoustic measurements extended with possible flat response of the so-called ideal microphone. The method test is performed with simulated and experimental signals assuming the usage of open-cell photoacoustic set-up. Experimental testing leads to the microphone transfer function determination used to correct the experimental signals, targeting the “true” undistorted photoacoustic response which can be further used in material characterization process.",
journal = "Optical and Quantum Electronics",
title = "Computationally intelligent description of a photoacoustic detector",
volume = "52",
number = "5",
pages = "246",
doi = "10.1007/s11082-020-02372-y"
}

Jordović-Pavlović, M. I., Kupusinac, A., Đorđević, K. Lj., Galović, S., Markushev, D. D., Nešić, M. V.,& Popović, M. N.. (2020). Computationally intelligent description of a photoacoustic detector. in Optical and Quantum Electronics, 52(5), 246.
https://doi.org/10.1007/s11082-020-02372-y

Jordović-Pavlović MI, Kupusinac A, Đorđević KL, Galović S, Markushev DD, Nešić MV, Popović MN. Computationally intelligent description of a photoacoustic detector. in Optical and Quantum Electronics. 2020;52(5):246.
doi:10.1007/s11082-020-02372-y .

Jordović-Pavlović, Miroslava I., Kupusinac, Aleksandar, Đorđević, Katarina Lj., Galović, Slobodanka, Markushev, Dragan D., Nešić, Mioljub V., Popović, Marica N., "Computationally intelligent description of a photoacoustic detector" in Optical and Quantum Electronics, 52, no. 5 (2020):246,
https://doi.org/10.1007/s11082-020-02372-y . .

TY  - JOUR
AU  - Jordović-Pavlović, Miroslava I.
AU  - Stanković, Milena M.
AU  - Popović, Marica N.
AU  - Ćojbašić, Žarko М.
AU  - Galović, Slobodanka
AU  - Markushev, Dragan D.
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9005
AB  - An analysis of the application of neural networks as a reliable, precise, and fast tool in open-cell photoacoustics setups for the recognition of microphone effects in the frequency domain from 10 Hz to 100 × 104 Hz is presented. The network is trained to achieve simultaneous recognition of microphone characteristics, which are the most important parameters leading to the distortion of photoacoustic signals in both amplitude and phase. The training is carried out using a theoretically obtained database of amplitudes and phases as the input and five microphone characteristics as the output, based on transmission measurements obtained using an open photoacoustic cell setup. The results show that the network can precisely and reliably interpolate the output to recognize microphone characteristics including electronic effects in the low and acoustic effects in the high frequency domain. The simulations reveal that the network is not capable of interpolating an input including modulation frequencies. Consequently, in real applications, the network training must be adapted to the experimental frequencies, or vice versa. The total number of frequencies used in the experiment must also be in accordance with the total number of frequencies used in the network training.
T2  - Journal of Computational Electronics
T1  - The application of artificial neural networks in solid-state photoacoustics for the recognition of microphone response effects in the frequency domain
VL  - 19
IS  - 3
SP  - 1268
EP  - 1280
DO  - 10.1007/s10825-020-01507-4
ER  - 

@article{
author = "Jordović-Pavlović, Miroslava I. and Stanković, Milena M. and Popović, Marica N. and Ćojbašić, Žarko М. and Galović, Slobodanka and Markushev, Dragan D.",
year = "2020",
abstract = "An analysis of the application of neural networks as a reliable, precise, and fast tool in open-cell photoacoustics setups for the recognition of microphone effects in the frequency domain from 10 Hz to 100 × 104 Hz is presented. The network is trained to achieve simultaneous recognition of microphone characteristics, which are the most important parameters leading to the distortion of photoacoustic signals in both amplitude and phase. The training is carried out using a theoretically obtained database of amplitudes and phases as the input and five microphone characteristics as the output, based on transmission measurements obtained using an open photoacoustic cell setup. The results show that the network can precisely and reliably interpolate the output to recognize microphone characteristics including electronic effects in the low and acoustic effects in the high frequency domain. The simulations reveal that the network is not capable of interpolating an input including modulation frequencies. Consequently, in real applications, the network training must be adapted to the experimental frequencies, or vice versa. The total number of frequencies used in the experiment must also be in accordance with the total number of frequencies used in the network training.",
journal = "Journal of Computational Electronics",
title = "The application of artificial neural networks in solid-state photoacoustics for the recognition of microphone response effects in the frequency domain",
volume = "19",
number = "3",
pages = "1268-1280",
doi = "10.1007/s10825-020-01507-4"
}

Jordović-Pavlović, M. I., Stanković, M. M., Popović, M. N., Ćojbašić, Ž. М., Galović, S.,& Markushev, D. D.. (2020). The application of artificial neural networks in solid-state photoacoustics for the recognition of microphone response effects in the frequency domain. in Journal of Computational Electronics, 19(3), 1268-1280.
https://doi.org/10.1007/s10825-020-01507-4

Jordović-Pavlović MI, Stanković MM, Popović MN, Ćojbašić ŽМ, Galović S, Markushev DD. The application of artificial neural networks in solid-state photoacoustics for the recognition of microphone response effects in the frequency domain. in Journal of Computational Electronics. 2020;19(3):1268-1280.
doi:10.1007/s10825-020-01507-4 .

Jordović-Pavlović, Miroslava I., Stanković, Milena M., Popović, Marica N., Ćojbašić, Žarko М., Galović, Slobodanka, Markushev, Dragan D., "The application of artificial neural networks in solid-state photoacoustics for the recognition of microphone response effects in the frequency domain" in Journal of Computational Electronics, 19, no. 3 (2020):1268-1280,
https://doi.org/10.1007/s10825-020-01507-4 . .

TY  - CONF
AU  - Nešić, Mioljub
AU  - Popović, Marica
AU  - Đorđević, Katarina
AU  - Miletić, Vesna
AU  - Jordanović-Pavlović, Miroslava
AU  - Markushev, Dragan
AU  - Galović, Slobodanka
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11864
AB  - In this work, theory- based simulation models are derived for the photoacoustic (PA) frequency response of both volume and surface optically absorbing samples in a minimum volume PA cell. In the derivation process, thermal memory influence of both the sample and the air of the gas column are accounted for, as well as the influence of the measurement chain. Within the analysis of the TMS model, the influence of optical, thermal and elastic properties of the sample was investigated, and consequently, two methods are developed for TMS model parameter determination. The first one, a self consistent numerical procedure for solving the exponential problems of mathematical physics, based on regression, is also implemented on experimental measurements, done on macromolecule samples, and the results are presented and discussed. The second one, a well trained three-layer perceptron with back propagation, based upon theory of neural networks, is developed and presented as the proof of concept. Finally, as part of the extended investigation, these two inverse problem solving concepts are applied, compared and discussed in the domain of polymer sample characterization, and then repeated and proven on semiconductor samples.
PB  - Belgrade : Vinča Institute of Nuclear Sciences, University of Belgrade
C3  - PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts
T1  - Development and comparison of the techniques for solving the inverse problem in photoacoustics
SP  - 41
EP  - 41
UR  - https://hdl.handle.net/21.15107/rcub_vinar_11862
ER  - 

@conference{
author = "Nešić, Mioljub and Popović, Marica and Đorđević, Katarina and Miletić, Vesna and Jordanović-Pavlović, Miroslava and Markushev, Dragan and Galović, Slobodanka",
year = "2019",
abstract = "In this work, theory- based simulation models are derived for the photoacoustic (PA) frequency response of both volume and surface optically absorbing samples in a minimum volume PA cell. In the derivation process, thermal memory influence of both the sample and the air of the gas column are accounted for, as well as the influence of the measurement chain. Within the analysis of the TMS model, the influence of optical, thermal and elastic properties of the sample was investigated, and consequently, two methods are developed for TMS model parameter determination. The first one, a self consistent numerical procedure for solving the exponential problems of mathematical physics, based on regression, is also implemented on experimental measurements, done on macromolecule samples, and the results are presented and discussed. The second one, a well trained three-layer perceptron with back propagation, based upon theory of neural networks, is developed and presented as the proof of concept. Finally, as part of the extended investigation, these two inverse problem solving concepts are applied, compared and discussed in the domain of polymer sample characterization, and then repeated and proven on semiconductor samples.",
publisher = "Belgrade : Vinča Institute of Nuclear Sciences, University of Belgrade",
journal = "PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts",
title = "Development and comparison of the techniques for solving the inverse problem in photoacoustics",
pages = "41-41",
url = "https://hdl.handle.net/21.15107/rcub_vinar_11862"
}

Nešić, M., Popović, M., Đorđević, K., Miletić, V., Jordanović-Pavlović, M., Markushev, D.,& Galović, S.. (2019). Development and comparison of the techniques for solving the inverse problem in photoacoustics. in PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts
Belgrade : Vinča Institute of Nuclear Sciences, University of Belgrade., 41-41.
https://hdl.handle.net/21.15107/rcub_vinar_11862

Nešić M, Popović M, Đorđević K, Miletić V, Jordanović-Pavlović M, Markushev D, Galović S. Development and comparison of the techniques for solving the inverse problem in photoacoustics. in PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts. 2019;:41-41.
https://hdl.handle.net/21.15107/rcub_vinar_11862 .

Nešić, Mioljub, Popović, Marica, Đorđević, Katarina, Miletić, Vesna, Jordanović-Pavlović, Miroslava, Markushev, Dragan, Galović, Slobodanka, "Development and comparison of the techniques for solving the inverse problem in photoacoustics" in PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts (2019):41-41,
https://hdl.handle.net/21.15107/rcub_vinar_11862 .

TY  - CONF
AU  - Jordović-Pavlović, M.
AU  - Kupusinac, A.
AU  - Đorđević, Katarina Lj.
AU  - Galović, Slobodanka
AU  - Markushev, Dragan
AU  - Nešić, Mioljub V.
AU  - Popović, Marica N.
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11888
AB  - Artificial neural networks as machine learning techniques have proven to be suitable tools for intelligent decision making. This paper presents the application of artificial neural networks for fast and precise characterization of electret microphones by photoacoustic measurements based on optical generation of sound. The transfer function of this type of devices is usually not determined precisely enough by the producers, especially phase transfer function, because such detectors are not widely applied in scientific experiments but are rather used in audio techniques where amplitude transfer function is more important. The distorted photoacoustic experimental signal, influenced by the measurement set-up in a non-linear manner, represents the input of our model, while the outputs are the detector characteristics. The model consists of two neural networks: the first one for the classification of the detector type and the second one for the determination of the detector parameters, related to its electronic and geometric features. Based on this approach and the theoretical model, relying on the acoustics of small volumes, the parameters and transfer characteristics for several microphones are obtained and compared to the characteristics provided by their producers. It has been shown that the suggested method results in much better detector characterization than the one provided in the official specifications. This could be significant not only for scientific applications of microphones but also for their design and applications in audio techniques.
PB  - Belgrade : Vinča Institute of Nuclear Sciences, University of Belgrade
C3  - PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts
T1  - Computationally intelligent characterization of a photoacoustic detector
SP  - 177
EP  - 177
UR  - https://hdl.handle.net/21.15107/rcub_vinar_11888
ER  - 

@conference{
author = "Jordović-Pavlović, M. and Kupusinac, A. and Đorđević, Katarina Lj. and Galović, Slobodanka and Markushev, Dragan and Nešić, Mioljub V. and Popović, Marica N.",
year = "2019",
abstract = "Artificial neural networks as machine learning techniques have proven to be suitable tools for intelligent decision making. This paper presents the application of artificial neural networks for fast and precise characterization of electret microphones by photoacoustic measurements based on optical generation of sound. The transfer function of this type of devices is usually not determined precisely enough by the producers, especially phase transfer function, because such detectors are not widely applied in scientific experiments but are rather used in audio techniques where amplitude transfer function is more important. The distorted photoacoustic experimental signal, influenced by the measurement set-up in a non-linear manner, represents the input of our model, while the outputs are the detector characteristics. The model consists of two neural networks: the first one for the classification of the detector type and the second one for the determination of the detector parameters, related to its electronic and geometric features. Based on this approach and the theoretical model, relying on the acoustics of small volumes, the parameters and transfer characteristics for several microphones are obtained and compared to the characteristics provided by their producers. It has been shown that the suggested method results in much better detector characterization than the one provided in the official specifications. This could be significant not only for scientific applications of microphones but also for their design and applications in audio techniques.",
publisher = "Belgrade : Vinča Institute of Nuclear Sciences, University of Belgrade",
journal = "PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts",
title = "Computationally intelligent characterization of a photoacoustic detector",
pages = "177-177",
url = "https://hdl.handle.net/21.15107/rcub_vinar_11888"
}

Jordović-Pavlović, M., Kupusinac, A., Đorđević, K. Lj., Galović, S., Markushev, D., Nešić, M. V.,& Popović, M. N.. (2019). Computationally intelligent characterization of a photoacoustic detector. in PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts
Belgrade : Vinča Institute of Nuclear Sciences, University of Belgrade., 177-177.
https://hdl.handle.net/21.15107/rcub_vinar_11888

Jordović-Pavlović M, Kupusinac A, Đorđević KL, Galović S, Markushev D, Nešić MV, Popović MN. Computationally intelligent characterization of a photoacoustic detector. in PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts. 2019;:177-177.
https://hdl.handle.net/21.15107/rcub_vinar_11888 .

Jordović-Pavlović, M., Kupusinac, A., Đorđević, Katarina Lj., Galović, Slobodanka, Markushev, Dragan, Nešić, Mioljub V., Popović, Marica N., "Computationally intelligent characterization of a photoacoustic detector" in PHOTONICA2019 : 7th International School and Conference on Photonics & Machine Learning with Photonics Symposium : Book of abstracts (2019):177-177,
https://hdl.handle.net/21.15107/rcub_vinar_11888 .

TY  - JOUR
AU  - Nešić, Mioljub V.
AU  - Popović, Marica N.
AU  - Galović, Slobodanka
PY  - 2019
UR  - http://www.mdpi.com/2218-2004/7/1/24
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8225
AB  - In this work, theoretically/mathematically simulated models are derived for the photoacoustic (PA) frequency response of both volume and surface optically-absorbing samples in a minimum volume PA cell. In the derivation process, the thermal memory influence of both the sample and the air of the gas column are accounted for, as well as the influence of the measurement chain. Within the analysis of the TMS model, the influence of optical, thermal, and elastic properties of the sample was investigated. This analysis revealed that some of the processes, characterized by certain sample properties, exert their dominance only in limited modulation frequency ranges, which are shown to be dependent upon the choice of the sample material and its thickness. Based on the described analysis, two methods are developed for TMS model parameter determination, i.e., sample properties which dominantly influence the PA response in the measurement range: a self-consistent procedure for solving the exponential problems of mathematical physics, and a well-trained three-layer perceptron with back propagation, based upon theory of neural networks. The results of the application of both inverse problem solving methods are compared and discussed. The first method is shown to have the advantage in the number of properties which are determined, while the second one is advantageous in gaining high accuracy in the determination of thermal diffusivity, explicitly. Finally, the execution of inverse PA problem is implemented on experimental measurements performed on macromolecule samples, the results are discussed, and the most important conclusions are derived and presented.
T2  - Atoms
T1  - Developing the Techniques for Solving the Inverse Problem in Photoacoustics
VL  - 7
IS  - 1
SP  - 24
DO  - 10.3390/atoms7010024
ER  - 

@article{
author = "Nešić, Mioljub V. and Popović, Marica N. and Galović, Slobodanka",
year = "2019",
abstract = "In this work, theoretically/mathematically simulated models are derived for the photoacoustic (PA) frequency response of both volume and surface optically-absorbing samples in a minimum volume PA cell. In the derivation process, the thermal memory influence of both the sample and the air of the gas column are accounted for, as well as the influence of the measurement chain. Within the analysis of the TMS model, the influence of optical, thermal, and elastic properties of the sample was investigated. This analysis revealed that some of the processes, characterized by certain sample properties, exert their dominance only in limited modulation frequency ranges, which are shown to be dependent upon the choice of the sample material and its thickness. Based on the described analysis, two methods are developed for TMS model parameter determination, i.e., sample properties which dominantly influence the PA response in the measurement range: a self-consistent procedure for solving the exponential problems of mathematical physics, and a well-trained three-layer perceptron with back propagation, based upon theory of neural networks. The results of the application of both inverse problem solving methods are compared and discussed. The first method is shown to have the advantage in the number of properties which are determined, while the second one is advantageous in gaining high accuracy in the determination of thermal diffusivity, explicitly. Finally, the execution of inverse PA problem is implemented on experimental measurements performed on macromolecule samples, the results are discussed, and the most important conclusions are derived and presented.",
journal = "Atoms",
title = "Developing the Techniques for Solving the Inverse Problem in Photoacoustics",
volume = "7",
number = "1",
pages = "24",
doi = "10.3390/atoms7010024"
}

Nešić, M. V., Popović, M. N.,& Galović, S.. (2019). Developing the Techniques for Solving the Inverse Problem in Photoacoustics. in Atoms, 7(1), 24.
https://doi.org/10.3390/atoms7010024

Nešić MV, Popović MN, Galović S. Developing the Techniques for Solving the Inverse Problem in Photoacoustics. in Atoms. 2019;7(1):24.
doi:10.3390/atoms7010024 .

Nešić, Mioljub V., Popović, Marica N., Galović, Slobodanka, "Developing the Techniques for Solving the Inverse Problem in Photoacoustics" in Atoms, 7, no. 1 (2019):24,
https://doi.org/10.3390/atoms7010024 . .

TY  - JOUR
AU  - Popović, Marica N.
AU  - Nešić, Mioljub V.
AU  - Živanov, Miloš
AU  - Markushev, Dragan D.
AU  - Galović, Slobodanka
PY  - 2018
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/7834
AB  - In this paper, the models of surface temperature variations have been derived. Based on these models, photoacoustic (PA) response has been commented for transmission PA setup configurations of two-layer optically transparent samples, including the impact of finite heat propagation velocity through both layers (thermal memory) and the existence of volume absorption in both layers. By analyzing the derived model it has been shown that many parameters influence the photoacoustic response. Based on the derived model, some approximations have been discussed in order to enable the development of more accurate inverse solutions of photoacoustic problem, and the estimation of optical, thermal and other related physical properties of versatile materials. By using specific two-layer structure that consist of aluminum sample coated with layer of color dye, used in some photoacoustic experimental investigations, the influence of thermal memory properties of either the sample or the coating has been discussed. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.
T2  - Optical and Quantum Electronics
T1  - Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory
VL  - 50
IS  - 9
SP  - 330
DO  - 10.1007/s11082-018-1586-x
ER  - 

@article{
author = "Popović, Marica N. and Nešić, Mioljub V. and Živanov, Miloš and Markushev, Dragan D. and Galović, Slobodanka",
year = "2018",
abstract = "In this paper, the models of surface temperature variations have been derived. Based on these models, photoacoustic (PA) response has been commented for transmission PA setup configurations of two-layer optically transparent samples, including the impact of finite heat propagation velocity through both layers (thermal memory) and the existence of volume absorption in both layers. By analyzing the derived model it has been shown that many parameters influence the photoacoustic response. Based on the derived model, some approximations have been discussed in order to enable the development of more accurate inverse solutions of photoacoustic problem, and the estimation of optical, thermal and other related physical properties of versatile materials. By using specific two-layer structure that consist of aluminum sample coated with layer of color dye, used in some photoacoustic experimental investigations, the influence of thermal memory properties of either the sample or the coating has been discussed. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.",
journal = "Optical and Quantum Electronics",
title = "Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory",
volume = "50",
number = "9",
pages = "330",
doi = "10.1007/s11082-018-1586-x"
}

Popović, M. N., Nešić, M. V., Živanov, M., Markushev, D. D.,& Galović, S.. (2018). Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory. in Optical and Quantum Electronics, 50(9), 330.
https://doi.org/10.1007/s11082-018-1586-x

Popović MN, Nešić MV, Živanov M, Markushev DD, Galović S. Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory. in Optical and Quantum Electronics. 2018;50(9):330.
doi:10.1007/s11082-018-1586-x .

Popović, Marica N., Nešić, Mioljub V., Živanov, Miloš, Markushev, Dragan D., Galović, Slobodanka, "Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory" in Optical and Quantum Electronics, 50, no. 9 (2018):330,
https://doi.org/10.1007/s11082-018-1586-x . .

TY  - CONF
AU  - Popović, Marica N.
AU  - Nešić, Mioljub
AU  - Markushev, Dragan D.
AU  - Živanov, Miloš
AU  - Galović, Slobodanka
PY  - 2017
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10940
AB  - Over the last thirty years, multilayered systems have increasingly drawn attention due to their growing appearance in both natural and artificial structures. A number of measurements require the adsorption of an electrically conductible, anti-reflection and/or optically absorbing layer, which induces the necessity for theoretical modelling of the system as two-layered structure, when characterized or imaged by these methods. In this paper, the models of photoacoustic (PA) response are derived for transmission PA setup configurations of two-layered optically transparent samples with thermal memory. These models are considered a generalization of the models used so far, in two directions: first, the impact of finite heat propagation velocity through both layers is included; second, the existence of volume absorption in both layers is taken into account. These studies are important for the fundamental investigations of heat transfer mechanisms in soft matter, as well as for numerous applied researches, such as self-heating problems of very large scaling integration (VLSI) circuits, engineering of physical properties of the multi-layer structures etc.
PB  - Belgrade : Institute of Physics Belgrade
C3  - PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts
T1  - Photoacoustic response of a transmission photoacoustic configuration for twolayer samples with thermal memory
SP  - 42
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10940
ER  - 

@conference{
author = "Popović, Marica N. and Nešić, Mioljub and Markushev, Dragan D. and Živanov, Miloš and Galović, Slobodanka",
year = "2017",
abstract = "Over the last thirty years, multilayered systems have increasingly drawn attention due to their growing appearance in both natural and artificial structures. A number of measurements require the adsorption of an electrically conductible, anti-reflection and/or optically absorbing layer, which induces the necessity for theoretical modelling of the system as two-layered structure, when characterized or imaged by these methods. In this paper, the models of photoacoustic (PA) response are derived for transmission PA setup configurations of two-layered optically transparent samples with thermal memory. These models are considered a generalization of the models used so far, in two directions: first, the impact of finite heat propagation velocity through both layers is included; second, the existence of volume absorption in both layers is taken into account. These studies are important for the fundamental investigations of heat transfer mechanisms in soft matter, as well as for numerous applied researches, such as self-heating problems of very large scaling integration (VLSI) circuits, engineering of physical properties of the multi-layer structures etc.",
publisher = "Belgrade : Institute of Physics Belgrade",
journal = "PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts",
title = "Photoacoustic response of a transmission photoacoustic configuration for twolayer samples with thermal memory",
pages = "42",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10940"
}

Popović, M. N., Nešić, M., Markushev, D. D., Živanov, M.,& Galović, S.. (2017). Photoacoustic response of a transmission photoacoustic configuration for twolayer samples with thermal memory. in PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts
Belgrade : Institute of Physics Belgrade., 42.
https://hdl.handle.net/21.15107/rcub_vinar_10940

Popović MN, Nešić M, Markushev DD, Živanov M, Galović S. Photoacoustic response of a transmission photoacoustic configuration for twolayer samples with thermal memory. in PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts. 2017;:42.
https://hdl.handle.net/21.15107/rcub_vinar_10940 .

Popović, Marica N., Nešić, Mioljub, Markushev, Dragan D., Živanov, Miloš, Galović, Slobodanka, "Photoacoustic response of a transmission photoacoustic configuration for twolayer samples with thermal memory" in PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts (2017):42,
https://hdl.handle.net/21.15107/rcub_vinar_10940 .

TY  - CONF
AU  - Popović, Marica
AU  - Nešić, Mioljub
AU  - Rabasović, Mihailo
AU  - Markušev, Dragan
AU  - Galović, Slobodanka
PY  - 2015
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12009
AB  - In this work, a double-layered sample is considered. One layer of the sample is assumed to have high optical absorption coefficient (β1>>1, surface absorber) while the other layer’s optical absorption coefficient, β2 is low, which is a common situation in transmission photothermal experiments with optically transparent samples [1-5] (Figure 1). The expressions are derived for surface temperature variations due to the absorption of excitation EM radiation and its conversion into heat within the sample. The study focused on two experimental cases: In the first, the surface absorber is considered to be exposed to the excitation EM beam, while in the second, the other layer is the one to be exposed. The differences in amplitude and phase characteristics, predicted by theory in these two cases, are discussed.
PB  - Belgrade : Vinča Institute of Nuclear Sciences
C3  - PHOTONICA2015 : 5th International School and Conference on Photonics and COST actions: MP1204, BM1205 and MP1205 : book of abstracts; August 24-28, 2015; Belgrade
T1  - Photothermal response of a double-layered semi-transparent sample
SP  - 103
EP  - 103
UR  - https://hdl.handle.net/21.15107/rcub_vinar_12009
ER  - 

@conference{
author = "Popović, Marica and Nešić, Mioljub and Rabasović, Mihailo and Markušev, Dragan and Galović, Slobodanka",
year = "2015",
abstract = "In this work, a double-layered sample is considered. One layer of the sample is assumed to have high optical absorption coefficient (β1>>1, surface absorber) while the other layer’s optical absorption coefficient, β2 is low, which is a common situation in transmission photothermal experiments with optically transparent samples [1-5] (Figure 1). The expressions are derived for surface temperature variations due to the absorption of excitation EM radiation and its conversion into heat within the sample. The study focused on two experimental cases: In the first, the surface absorber is considered to be exposed to the excitation EM beam, while in the second, the other layer is the one to be exposed. The differences in amplitude and phase characteristics, predicted by theory in these two cases, are discussed.",
publisher = "Belgrade : Vinča Institute of Nuclear Sciences",
journal = "PHOTONICA2015 : 5th International School and Conference on Photonics and COST actions: MP1204, BM1205 and MP1205 : book of abstracts; August 24-28, 2015; Belgrade",
title = "Photothermal response of a double-layered semi-transparent sample",
pages = "103-103",
url = "https://hdl.handle.net/21.15107/rcub_vinar_12009"
}

Popović, M., Nešić, M., Rabasović, M., Markušev, D.,& Galović, S.. (2015). Photothermal response of a double-layered semi-transparent sample. in PHOTONICA2015 : 5th International School and Conference on Photonics and COST actions: MP1204, BM1205 and MP1205 : book of abstracts; August 24-28, 2015; Belgrade
Belgrade : Vinča Institute of Nuclear Sciences., 103-103.
https://hdl.handle.net/21.15107/rcub_vinar_12009

Popović M, Nešić M, Rabasović M, Markušev D, Galović S. Photothermal response of a double-layered semi-transparent sample. in PHOTONICA2015 : 5th International School and Conference on Photonics and COST actions: MP1204, BM1205 and MP1205 : book of abstracts; August 24-28, 2015; Belgrade. 2015;:103-103.
https://hdl.handle.net/21.15107/rcub_vinar_12009 .

Popović, Marica, Nešić, Mioljub, Rabasović, Mihailo, Markušev, Dragan, Galović, Slobodanka, "Photothermal response of a double-layered semi-transparent sample" in PHOTONICA2015 : 5th International School and Conference on Photonics and COST actions: MP1204, BM1205 and MP1205 : book of abstracts; August 24-28, 2015; Belgrade (2015):103-103,
https://hdl.handle.net/21.15107/rcub_vinar_12009 .

TY  - CONF
AU  - Nešić, Mioljub
AU  - Popović, Marica
AU  - Galović, Slobodanka
PY  - 2015
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12010
AB  - The influence of multiple optical reflexions (Fig.1) on the photoacoustic (PA) response has scarcely been considered throughout the literature, except for a few works [1,2]. Recent experimental results, obtained on very thin films [3,4], show the disagreement with theoretical predictions of amplitude and phase characteristics of the PA response and require more detailed consideration of the influence of multiple optical reflections. In this work, a model of optically generated heat sources in the sample with low optical absorption coefficient is derived. Multiple reflexions are considered at both surfaces of the sample exposed to the intensity-modulated laser beam. The impacts of the reflexion coefficient, the absorption coefficient and the thickness of the sample on the amplitude and phase characteristics of the photoacoustic response are discussed.
PB  - Belgrade : Vinča Institute of Nuclear Sciences
C3  - PHOTONICA2015 : 5th International School and Conference on Photonics and COST actions: MP1204, BM1205 and MP1205 : book of abstracts; August 24-28, 2015; Belgrade
T1  - The influence of multiple optical reflections on the photoacoustic frequency response
SP  - 104
EP  - 104
UR  - https://hdl.handle.net/21.15107/rcub_vinar_12010
ER  - 

@conference{
author = "Nešić, Mioljub and Popović, Marica and Galović, Slobodanka",
year = "2015",
abstract = "The influence of multiple optical reflexions (Fig.1) on the photoacoustic (PA) response has scarcely been considered throughout the literature, except for a few works [1,2]. Recent experimental results, obtained on very thin films [3,4], show the disagreement with theoretical predictions of amplitude and phase characteristics of the PA response and require more detailed consideration of the influence of multiple optical reflections. In this work, a model of optically generated heat sources in the sample with low optical absorption coefficient is derived. Multiple reflexions are considered at both surfaces of the sample exposed to the intensity-modulated laser beam. The impacts of the reflexion coefficient, the absorption coefficient and the thickness of the sample on the amplitude and phase characteristics of the photoacoustic response are discussed.",
publisher = "Belgrade : Vinča Institute of Nuclear Sciences",
journal = "PHOTONICA2015 : 5th International School and Conference on Photonics and COST actions: MP1204, BM1205 and MP1205 : book of abstracts; August 24-28, 2015; Belgrade",
title = "The influence of multiple optical reflections on the photoacoustic frequency response",
pages = "104-104",
url = "https://hdl.handle.net/21.15107/rcub_vinar_12010"
}

Nešić, M., Popović, M.,& Galović, S.. (2015). The influence of multiple optical reflections on the photoacoustic frequency response. in PHOTONICA2015 : 5th International School and Conference on Photonics and COST actions: MP1204, BM1205 and MP1205 : book of abstracts; August 24-28, 2015; Belgrade
Belgrade : Vinča Institute of Nuclear Sciences., 104-104.
https://hdl.handle.net/21.15107/rcub_vinar_12010

Nešić M, Popović M, Galović S. The influence of multiple optical reflections on the photoacoustic frequency response. in PHOTONICA2015 : 5th International School and Conference on Photonics and COST actions: MP1204, BM1205 and MP1205 : book of abstracts; August 24-28, 2015; Belgrade. 2015;:104-104.
https://hdl.handle.net/21.15107/rcub_vinar_12010 .

Nešić, Mioljub, Popović, Marica, Galović, Slobodanka, "The influence of multiple optical reflections on the photoacoustic frequency response" in PHOTONICA2015 : 5th International School and Conference on Photonics and COST actions: MP1204, BM1205 and MP1205 : book of abstracts; August 24-28, 2015; Belgrade (2015):104-104,
https://hdl.handle.net/21.15107/rcub_vinar_12010 .