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  - CONF
AU  - Dragaš, Milica A.
AU  - Miletić, Vesna
AU  - Galović, Slobodanka
AU  - Nešić, Mioljub
AU  - Đorđević, Katarina Lj.
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10966
AB  - In this work, the influence of the thermal and mechanical piston effects over the frequency at which the amplitudes of the components of the photoacoustic signal resulting from these two effects are equalized. The analysis was done in the measuring range 10 to 20kHz. An aluminum sample illuminated with modulated light, whose thickness varies from 10 to 1000 microns, was considered. It is important for development reliable inverse procedures and determination various properties of samples from experimental measurement.
PB  - Istočno Sarajevo : Elektrotehnički fakultet
C3  - InfoTeh-Jahorina : 22. međunarodni simpozijum INFOTEH-JAHORINA 2023 : zbornik radova; Mart 15-17; Jahorina
T1  - Thermal and mechanical piston influence on photoacoustic signal
SP  - 236
EP  - 240
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10966
ER  - 

@conference{
author = "Dragaš, Milica A. and Miletić, Vesna and Galović, Slobodanka and Nešić, Mioljub and Đorđević, Katarina Lj.",
year = "2023",
abstract = "In this work, the influence of the thermal and mechanical piston effects over the frequency at which the amplitudes of the components of the photoacoustic signal resulting from these two effects are equalized. The analysis was done in the measuring range 10 to 20kHz. An aluminum sample illuminated with modulated light, whose thickness varies from 10 to 1000 microns, was considered. It is important for development reliable inverse procedures and determination various properties of samples from experimental measurement.",
publisher = "Istočno Sarajevo : Elektrotehnički fakultet",
journal = "InfoTeh-Jahorina : 22. međunarodni simpozijum INFOTEH-JAHORINA 2023 : zbornik radova; Mart 15-17; Jahorina",
title = "Thermal and mechanical piston influence on photoacoustic signal",
pages = "236-240",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10966"
}

Dragaš, M. A., Miletić, V., Galović, S., Nešić, M.,& Đorđević, K. Lj.. (2023). Thermal and mechanical piston influence on photoacoustic signal. in InfoTeh-Jahorina : 22. međunarodni simpozijum INFOTEH-JAHORINA 2023 : zbornik radova; Mart 15-17; Jahorina
Istočno Sarajevo : Elektrotehnički fakultet., 236-240.
https://hdl.handle.net/21.15107/rcub_vinar_10966

Dragaš MA, Miletić V, Galović S, Nešić M, Đorđević KL. Thermal and mechanical piston influence on photoacoustic signal. in InfoTeh-Jahorina : 22. međunarodni simpozijum INFOTEH-JAHORINA 2023 : zbornik radova; Mart 15-17; Jahorina. 2023;:236-240.
https://hdl.handle.net/21.15107/rcub_vinar_10966 .

Dragaš, Milica A., Miletić, Vesna, Galović, Slobodanka, Nešić, Mioljub, Đorđević, Katarina Lj., "Thermal and mechanical piston influence on photoacoustic signal" in InfoTeh-Jahorina : 22. međunarodni simpozijum INFOTEH-JAHORINA 2023 : zbornik radova; Mart 15-17; Jahorina (2023):236-240,
https://hdl.handle.net/21.15107/rcub_vinar_10966 .

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  - CONF
AU  - Miletić, Vesna
AU  - Markushev, Dragana K.
AU  - Markushev, Dragan D.
AU  - Popović, Marica
AU  - Đorđević, Katarina Lj.
AU  - Galović, Slobodanka
AU  - Nešić, Mioljub
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10961
AB  - U ovom radu ispitivan je uticaj nanetog sloja boje na površinske temperaturske varijacije uzorka poliamida. Uzorak, dobijen laserskim sinterovanjem industrijskog praha PA2200, se obasjava mnodulisanim laserskim snopom, dok se naneti sloj boje ne pobuđuje direktno. Razmatra se dinamička komponenta temperaturske promene na površini uzorka u transmisionoj i refleksionoj konfiguraciji, kao ključna komponenta formiranja fotoaksutičkog odziva.
AB  - In this paper, the influence of the applied dye layer on surface temperature variations of polyamide sampleis investigated. The sample, obtained by laser sintering of PA2200 industrial powder, is irradiated by a modulated laser beam, while the applied layer is not excited directly. Dynamic component of temperature change at sample surface is considered, in both transmission and reflexion configuration, as the key componetn in the formation of photoacoustic resopnse.
PB  - Istočno Sarajevo : Elektrotehnički fakultet
C3  - InfoTeh-Jahorina : 21. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 16-18; Jahorina
T1  - Ispitivanje uticaja nanetog sloja boje na površinske temperaturske varijacije laserski sinterovanog poliamida
T1  - Investigation of the influence of the applied dye layer on surface temperature variations of laser sintered polyamide
SP  - 156
EP  - 159
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10961
ER  - 

@conference{
author = "Miletić, Vesna and Markushev, Dragana K. and Markushev, Dragan D. and Popović, Marica and Đorđević, Katarina Lj. and Galović, Slobodanka and Nešić, Mioljub",
year = "2022",
abstract = "U ovom radu ispitivan je uticaj nanetog sloja boje na površinske temperaturske varijacije uzorka poliamida. Uzorak, dobijen laserskim sinterovanjem industrijskog praha PA2200, se obasjava mnodulisanim laserskim snopom, dok se naneti sloj boje ne pobuđuje direktno. Razmatra se dinamička komponenta temperaturske promene na površini uzorka u transmisionoj i refleksionoj konfiguraciji, kao ključna komponenta formiranja fotoaksutičkog odziva., In this paper, the influence of the applied dye layer on surface temperature variations of polyamide sampleis investigated. The sample, obtained by laser sintering of PA2200 industrial powder, is irradiated by a modulated laser beam, while the applied layer is not excited directly. Dynamic component of temperature change at sample surface is considered, in both transmission and reflexion configuration, as the key componetn in the formation of photoacoustic resopnse.",
publisher = "Istočno Sarajevo : Elektrotehnički fakultet",
journal = "InfoTeh-Jahorina : 21. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 16-18; Jahorina",
title = "Ispitivanje uticaja nanetog sloja boje na površinske temperaturske varijacije laserski sinterovanog poliamida, Investigation of the influence of the applied dye layer on surface temperature variations of laser sintered polyamide",
pages = "156-159",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10961"
}

Miletić, V., Markushev, D. K., Markushev, D. D., Popović, M., Đorđević, K. Lj., Galović, S.,& Nešić, M.. (2022). Ispitivanje uticaja nanetog sloja boje na površinske temperaturske varijacije laserski sinterovanog poliamida. in InfoTeh-Jahorina : 21. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 16-18; Jahorina
Istočno Sarajevo : Elektrotehnički fakultet., 156-159.
https://hdl.handle.net/21.15107/rcub_vinar_10961

Miletić V, Markushev DK, Markushev DD, Popović M, Đorđević KL, Galović S, Nešić M. Ispitivanje uticaja nanetog sloja boje na površinske temperaturske varijacije laserski sinterovanog poliamida. in InfoTeh-Jahorina : 21. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 16-18; Jahorina. 2022;:156-159.
https://hdl.handle.net/21.15107/rcub_vinar_10961 .

Miletić, Vesna, Markushev, Dragana K., Markushev, Dragan D., Popović, Marica, Đorđević, Katarina Lj., Galović, Slobodanka, Nešić, Mioljub, "Ispitivanje uticaja nanetog sloja boje na površinske temperaturske varijacije laserski sinterovanog poliamida" in InfoTeh-Jahorina : 21. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 16-18; Jahorina (2022):156-159,
https://hdl.handle.net/21.15107/rcub_vinar_10961 .

TY  - CONF
AU  - Đorđević, Katarina Lj.
AU  - Galović, Slobodanka
AU  - Nešić, Mioljub
AU  - Todorović, D.
AU  - Popović, Marica
AU  - Markushev, Dragan D.
AU  - Markushev, Dragana K.
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10962
AB  - Laboratory-built measuring device, based on pulse photoacoustic (PA) effect, which allows the measurement of optical and acoustic signals in time domain, is presented. The experimental setup is described and the device specifications are given in detail. Optical and PA signals are measured in a time range from 10 μs to 10 s, for different samples and conditions. As an example, the experimental results for Si square membrane (Si chip with 5 x 5 mm frame and 3 × 3 mm square membrane, 32 μm thick, used in micromechanic devices) are presented. The square membrane Si chips were prepared by wet anisotropic bulk micromachining process. The applicability of the measured PA signal in the characterization of semiconductors and micromechanical structures is discussed.
PB  - Istočno Sarajevo : Elektrotehnički fakultet
C3  - InfoTeh-Jahorina : 21. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 16-18; Jahorina
T1  - Transmission pulse photoacoustic set-up for characterization of solids
SP  - 161
EP  - 164
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10962
ER  - 

@conference{
author = "Đorđević, Katarina Lj. and Galović, Slobodanka and Nešić, Mioljub and Todorović, D. and Popović, Marica and Markushev, Dragan D. and Markushev, Dragana K.",
year = "2022",
abstract = "Laboratory-built measuring device, based on pulse photoacoustic (PA) effect, which allows the measurement of optical and acoustic signals in time domain, is presented. The experimental setup is described and the device specifications are given in detail. Optical and PA signals are measured in a time range from 10 μs to 10 s, for different samples and conditions. As an example, the experimental results for Si square membrane (Si chip with 5 x 5 mm frame and 3 × 3 mm square membrane, 32 μm thick, used in micromechanic devices) are presented. The square membrane Si chips were prepared by wet anisotropic bulk micromachining process. The applicability of the measured PA signal in the characterization of semiconductors and micromechanical structures is discussed.",
publisher = "Istočno Sarajevo : Elektrotehnički fakultet",
journal = "InfoTeh-Jahorina : 21. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 16-18; Jahorina",
title = "Transmission pulse photoacoustic set-up for characterization of solids",
pages = "161-164",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10962"
}

Đorđević, K. Lj., Galović, S., Nešić, M., Todorović, D., Popović, M., Markushev, D. D.,& Markushev, D. K.. (2022). Transmission pulse photoacoustic set-up for characterization of solids. in InfoTeh-Jahorina : 21. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 16-18; Jahorina
Istočno Sarajevo : Elektrotehnički fakultet., 161-164.
https://hdl.handle.net/21.15107/rcub_vinar_10962

Đorđević KL, Galović S, Nešić M, Todorović D, Popović M, Markushev DD, Markushev DK. Transmission pulse photoacoustic set-up for characterization of solids. in InfoTeh-Jahorina : 21. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 16-18; Jahorina. 2022;:161-164.
https://hdl.handle.net/21.15107/rcub_vinar_10962 .

Đorđević, Katarina Lj., Galović, Slobodanka, Nešić, Mioljub, Todorović, D., Popović, Marica, Markushev, Dragan D., Markushev, Dragana K., "Transmission pulse photoacoustic set-up for characterization of solids" in InfoTeh-Jahorina : 21. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 16-18; Jahorina (2022):161-164,
https://hdl.handle.net/21.15107/rcub_vinar_10962 .

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  - 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  - CONF
AU  - Miletić, Vesna
AU  - Đorđević, Katarina Lj.
AU  - Markushev, Dragan D.
AU  - Popović, Marica
AU  - Galović, Slobodanka
AU  - Miličević, Dejan
AU  - Nešić, Mioljub
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10964
AB  - Specijalno pripremeljeni PLLA uzorci su prekriveni tankim polimernim slojem akrilne boje, formirajući na taj način neprozirni zaštitni sloj. Uniformnost i debljina nanetog sloja su potvrđeni, a onda su izvršena merenja frekventnog fotoakustičkog (FA) odziva dobijenog dvoslojnog sistema korišćenjem FA ćelije minimalne zapremine u transmisionoj konfiguraciji. Ponovljivost je potvrđena višestrukim merenjima na dva nivoa debljine i za svaku stranu pojedinačno. Prikazani rezultati obrađenih merenja potvrđuju ispravnost odluke da se u teorijskom modelovanju odziva i potonjoj interpretaciji koristi dvoslojni generalizovani model FA odziva. Predložene su dalje metode obrade dobijenih podataka, sa ciljem kvantitativne karakterizacije ispitivanog polimernom materijala pomoću procedura zasnovanih na veštačkoj inteligenciji (neuronskim mrežama).
PB  - Istočno Sarajevo : Elektrotehnički fakultet
C3  - InfoTeh-Jahorina : 19. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 18-20; Jahorina
T1  - Fotoakustička karakterizacija PLLA uzoraka različitih nivoa kristaliničnosti
T1  - Photoacoustic characterization of plla samples at different crystallinity levels
SP  - 109
EP  - 113
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10964
ER  - 

@conference{
author = "Miletić, Vesna and Đorđević, Katarina Lj. and Markushev, Dragan D. and Popović, Marica and Galović, Slobodanka and Miličević, Dejan and Nešić, Mioljub",
year = "2020",
abstract = "Specijalno pripremeljeni PLLA uzorci su prekriveni tankim polimernim slojem akrilne boje, formirajući na taj način neprozirni zaštitni sloj. Uniformnost i debljina nanetog sloja su potvrđeni, a onda su izvršena merenja frekventnog fotoakustičkog (FA) odziva dobijenog dvoslojnog sistema korišćenjem FA ćelije minimalne zapremine u transmisionoj konfiguraciji. Ponovljivost je potvrđena višestrukim merenjima na dva nivoa debljine i za svaku stranu pojedinačno. Prikazani rezultati obrađenih merenja potvrđuju ispravnost odluke da se u teorijskom modelovanju odziva i potonjoj interpretaciji koristi dvoslojni generalizovani model FA odziva. Predložene su dalje metode obrade dobijenih podataka, sa ciljem kvantitativne karakterizacije ispitivanog polimernom materijala pomoću procedura zasnovanih na veštačkoj inteligenciji (neuronskim mrežama).",
publisher = "Istočno Sarajevo : Elektrotehnički fakultet",
journal = "InfoTeh-Jahorina : 19. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 18-20; Jahorina",
title = "Fotoakustička karakterizacija PLLA uzoraka različitih nivoa kristaliničnosti, Photoacoustic characterization of plla samples at different crystallinity levels",
pages = "109-113",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10964"
}

Miletić, V., Đorđević, K. Lj., Markushev, D. D., Popović, M., Galović, S., Miličević, D.,& Nešić, M.. (2020). Fotoakustička karakterizacija PLLA uzoraka različitih nivoa kristaliničnosti. in InfoTeh-Jahorina : 19. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 18-20; Jahorina
Istočno Sarajevo : Elektrotehnički fakultet., 109-113.
https://hdl.handle.net/21.15107/rcub_vinar_10964

Miletić V, Đorđević KL, Markushev DD, Popović M, Galović S, Miličević D, Nešić M. Fotoakustička karakterizacija PLLA uzoraka različitih nivoa kristaliničnosti. in InfoTeh-Jahorina : 19. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 18-20; Jahorina. 2020;:109-113.
https://hdl.handle.net/21.15107/rcub_vinar_10964 .

Miletić, Vesna, Đorđević, Katarina Lj., Markushev, Dragan D., Popović, Marica, Galović, Slobodanka, Miličević, Dejan, Nešić, Mioljub, "Fotoakustička karakterizacija PLLA uzoraka različitih nivoa kristaliničnosti" in InfoTeh-Jahorina : 19. međunarodni simpozijum INFOTEH-JAHORINA 2022 : zbornik radova; Mart 18-20; Jahorina (2020):109-113,
https://hdl.handle.net/21.15107/rcub_vinar_10964 .

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  - 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  - Nešić, Mioljub V.
AU  - Popović, Milan
AU  - Rabasović, Mihailo D.
AU  - Miličević, Dejan S.
AU  - Suljovrujić, Edin H.
AU  - Markushev, Dragan D.
AU  - Stojanović, Zoran A.
PY  - 2018
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/7199
AB  - In this work, thermal diffusivity of crystalline high-density polyethylene samples of various thickness, and prepared using different procedures, was evaluated by transmission gas-microphone frequency photoacoustics. The samples composition analysis and their degree of crystallinity were determined from the wide-angle X-ray diffraction, which confirmed that high-density polyethylene samples, obtained by slow and fast cooling, were equivalent in composition but with different degrees of crystallinity. Structural analysis, performed by differential scanning calorimetry, demonstrated that all of the used samples had different levels of crystallinity, depending not only on the preparing procedure, but also on sample thickness. Therefore, in order to evaluate the samples thermal diffusivity, it was necessary to modify standard photoacoustic fitting procedures (based on the normalization of photoacoustic amplitude and phase characteristics on two thickness levels) for the interpretation of photoacoustic measurements. The calculated values of thermal diffusivity were in the range of the expected literature values. Besides that, the obtained results indicate the unexpected correlation between the values of thermal diffusivity and thermal conductivity with the degree of crystallinity of the investigated geometrically thin samples. The results indicate the necessity of additional investigation of energy transport in macromolecular systems, as well as the possible employment of the photoacoustic techniques in order to clarify its mechanism.
T2  - International Journal of Thermophysics
T1  - Thermal Diffusivity of High-Density Polyethylene Samples of Different Crystallinity Evaluated by Indirect Transmission Photoacoustics
VL  - 39
IS  - 2
DO  - 10.1007/s10765-017-2345-0
ER  - 

@article{
author = "Nešić, Mioljub V. and Popović, Milan and Rabasović, Mihailo D. and Miličević, Dejan S. and Suljovrujić, Edin H. and Markushev, Dragan D. and Stojanović, Zoran A.",
year = "2018",
abstract = "In this work, thermal diffusivity of crystalline high-density polyethylene samples of various thickness, and prepared using different procedures, was evaluated by transmission gas-microphone frequency photoacoustics. The samples composition analysis and their degree of crystallinity were determined from the wide-angle X-ray diffraction, which confirmed that high-density polyethylene samples, obtained by slow and fast cooling, were equivalent in composition but with different degrees of crystallinity. Structural analysis, performed by differential scanning calorimetry, demonstrated that all of the used samples had different levels of crystallinity, depending not only on the preparing procedure, but also on sample thickness. Therefore, in order to evaluate the samples thermal diffusivity, it was necessary to modify standard photoacoustic fitting procedures (based on the normalization of photoacoustic amplitude and phase characteristics on two thickness levels) for the interpretation of photoacoustic measurements. The calculated values of thermal diffusivity were in the range of the expected literature values. Besides that, the obtained results indicate the unexpected correlation between the values of thermal diffusivity and thermal conductivity with the degree of crystallinity of the investigated geometrically thin samples. The results indicate the necessity of additional investigation of energy transport in macromolecular systems, as well as the possible employment of the photoacoustic techniques in order to clarify its mechanism.",
journal = "International Journal of Thermophysics",
title = "Thermal Diffusivity of High-Density Polyethylene Samples of Different Crystallinity Evaluated by Indirect Transmission Photoacoustics",
volume = "39",
number = "2",
doi = "10.1007/s10765-017-2345-0"
}

Nešić, M. V., Popović, M., Rabasović, M. D., Miličević, D. S., Suljovrujić, E. H., Markushev, D. D.,& Stojanović, Z. A.. (2018). Thermal Diffusivity of High-Density Polyethylene Samples of Different Crystallinity Evaluated by Indirect Transmission Photoacoustics. in International Journal of Thermophysics, 39(2).
https://doi.org/10.1007/s10765-017-2345-0

Nešić MV, Popović M, Rabasović MD, Miličević DS, Suljovrujić EH, Markushev DD, Stojanović ZA. Thermal Diffusivity of High-Density Polyethylene Samples of Different Crystallinity Evaluated by Indirect Transmission Photoacoustics. in International Journal of Thermophysics. 2018;39(2).
doi:10.1007/s10765-017-2345-0 .

Nešić, Mioljub V., Popović, Milan, Rabasović, Mihailo D., Miličević, Dejan S., Suljovrujić, Edin H., Markushev, Dragan D., Stojanović, Zoran A., "Thermal Diffusivity of High-Density Polyethylene Samples of Different Crystallinity Evaluated by Indirect Transmission Photoacoustics" in International Journal of Thermophysics, 39, no. 2 (2018),
https://doi.org/10.1007/s10765-017-2345-0 . .

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  - THES
AU  - Nešić, Mioljub V.
PY  - 2018
UR  - http://eteze.bg.ac.rs/application/showtheses?thesesId=5768
UR  - https://fedorabg.bg.ac.rs/fedora/get/o:17621/bdef:Content/download
UR  - http://www.vbs.rs/scripts/cobiss?command=DISPLAY&base=99999&rid=50048271&fmt=11&lani=sc
UR  - http://nardus.mpn.gov.rs/123456789/9456
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/7950
AB  - Фотоакустичке мерне методе се интензивно развијају у последње четири децeнијеи налазе све разноврснију примену у науци, техници, медицини и стоматологији:од истраживања везе између структуре материје и њених термалних, еластичних,оптичких, електричних и других физичких особина, посебно на ниској временској(испод 0,1 милисекунде) и просторној скали (субмикронској), прекокарактеризације наноелектронских направа и фотонских кристала, па све до invivo дијагностике у медицини...
AB  - Photoacoustic (PA) measurement methods have been intensively developed in the lastfour decades and have found versatile application in science, technique, medicine anddentistry: from explorations of the relationship between structure of matter and itsthermal, elastic, optical, electrical and other physical properties (especially at low timescale– under 0.1 ms and small space-frame – submicron), through characterization ofnanoelectronic devices and photon crystals, all the way to in vivo diagnostics inmedicine...
PB  - Универзитет у Београду, Електротехнички факултет
T2  - Универзитет у Београду
T1  - Развој техника за решавање инверзног фотоакустичког проблема
UR  - https://hdl.handle.net/21.15107/rcub_nardus_9456
ER  - 

@phdthesis{
author = "Nešić, Mioljub V.",
year = "2018",
abstract = "Фотоакустичке мерне методе се интензивно развијају у последње четири децeнијеи налазе све разноврснију примену у науци, техници, медицини и стоматологији:од истраживања везе између структуре материје и њених термалних, еластичних,оптичких, електричних и других физичких особина, посебно на ниској временској(испод 0,1 милисекунде) и просторној скали (субмикронској), прекокарактеризације наноелектронских направа и фотонских кристала, па све до invivo дијагностике у медицини..., Photoacoustic (PA) measurement methods have been intensively developed in the lastfour decades and have found versatile application in science, technique, medicine anddentistry: from explorations of the relationship between structure of matter and itsthermal, elastic, optical, electrical and other physical properties (especially at low timescale– under 0.1 ms and small space-frame – submicron), through characterization ofnanoelectronic devices and photon crystals, all the way to in vivo diagnostics inmedicine...",
publisher = "Универзитет у Београду, Електротехнички факултет",
journal = "Универзитет у Београду",
title = "Развој техника за решавање инверзног фотоакустичког проблема",
url = "https://hdl.handle.net/21.15107/rcub_nardus_9456"
}

Nešić, M. V.. (2018). Развој техника за решавање инверзног фотоакустичког проблема. in Универзитет у Београду
Универзитет у Београду, Електротехнички факултет..
https://hdl.handle.net/21.15107/rcub_nardus_9456

Nešić MV. Развој техника за решавање инверзног фотоакустичког проблема. in Универзитет у Београду. 2018;.
https://hdl.handle.net/21.15107/rcub_nardus_9456 .

Nešić, Mioljub V., "Развој техника за решавање инверзног фотоакустичког проблема" in Универзитет у Београду (2018),
https://hdl.handle.net/21.15107/rcub_nardus_9456 .

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  - JOUR
AU  - Nešić, Mioljub V.
AU  - Popović, Miroslav
AU  - Galović, Slobodanka
PY  - 2016
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/1061
AB  - The influence of multiple optical reflexions on optically generated surface temperature variations has scarcely been considered throughout the literature. In this work, a model of optically generated heat sources in the sample with low optical absorption coefficient is derived. Multiple optical 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 characteristics of photothermal responses are discussed.
PB  - Springer
T2  - Optical and Quantum Electronics
T1  - The influence of multiple optical reflexions on the photoacoustic frequency response
VL  - 48
IS  - 5
DO  - 10.1007/s11082-016-0564-4
ER  - 

@article{
author = "Nešić, Mioljub V. and Popović, Miroslav and Galović, Slobodanka",
year = "2016",
abstract = "The influence of multiple optical reflexions on optically generated surface temperature variations has scarcely been considered throughout the literature. In this work, a model of optically generated heat sources in the sample with low optical absorption coefficient is derived. Multiple optical 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 characteristics of photothermal responses are discussed.",
publisher = "Springer",
journal = "Optical and Quantum Electronics",
title = "The influence of multiple optical reflexions on the photoacoustic frequency response",
volume = "48",
number = "5",
doi = "10.1007/s11082-016-0564-4"
}

Nešić, M. V., Popović, M.,& Galović, S.. (2016). The influence of multiple optical reflexions on the photoacoustic frequency response. in Optical and Quantum Electronics
Springer., 48(5).
https://doi.org/10.1007/s11082-016-0564-4

Nešić MV, Popović M, Galović S. The influence of multiple optical reflexions on the photoacoustic frequency response. in Optical and Quantum Electronics. 2016;48(5).
doi:10.1007/s11082-016-0564-4 .

Nešić, Mioljub V., Popović, Miroslav, Galović, Slobodanka, "The influence of multiple optical reflexions on the photoacoustic frequency response" in Optical and Quantum Electronics, 48, no. 5 (2016),
https://doi.org/10.1007/s11082-016-0564-4 . .