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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

TY  - JOUR
AU  - Stanojević, Neda
AU  - Markushev, Dragana K.
AU  - Aleksić, Sanja M.
AU  - Pantić, Dragan S.
AU  - Galović, Slobodanka
AU  - Markushev, Dragan D.
AU  - Ordonez-Miranda, Jose
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11211
AB  - Based on the analogy between resistor-capacitor (RC) filters and the thermoelastic component of a photoacoustic signal, the complex thermoelastic response of an open photoacoustic cell is described as a simple linear time-invariant system of a low-pass RC filter. This description is done by finding a linear relation between the thermoelastic cut-off frequency and sample material thickness within the range of 10-1000 μm. Based on the theory of a composite piston, we run numerical simulations of the proposed method for n-type silicon, described as either a surface or volume absorber. Theoretical predictions are experimentally validated by using an open photoacoustic cell setup to record the signal of an 850-μm-thick n-type silicon wafer illuminated by a blue light source modulated with frequencies from 20 Hz to 20 kHz. The obtained experimental results confirm the linear dependence of the thermoelastic cut-off frequency on the sample thickness, and, therefore, they lay the foundation of a new method for the thermal characterization of materials. © 2023 Author(s).
T2  - Journal of Applied Physics
T1  - Thermal characterization of n-type silicon based on an electro-acoustic analogy
VL  - 133
IS  - 24
SP  - 245102
DO  - 10.1063/5.0152495
ER  - 

@article{
author = "Stanojević, Neda and Markushev, Dragana K. and Aleksić, Sanja M. and Pantić, Dragan S. and Galović, Slobodanka and Markushev, Dragan D. and Ordonez-Miranda, Jose",
year = "2023",
abstract = "Based on the analogy between resistor-capacitor (RC) filters and the thermoelastic component of a photoacoustic signal, the complex thermoelastic response of an open photoacoustic cell is described as a simple linear time-invariant system of a low-pass RC filter. This description is done by finding a linear relation between the thermoelastic cut-off frequency and sample material thickness within the range of 10-1000 μm. Based on the theory of a composite piston, we run numerical simulations of the proposed method for n-type silicon, described as either a surface or volume absorber. Theoretical predictions are experimentally validated by using an open photoacoustic cell setup to record the signal of an 850-μm-thick n-type silicon wafer illuminated by a blue light source modulated with frequencies from 20 Hz to 20 kHz. The obtained experimental results confirm the linear dependence of the thermoelastic cut-off frequency on the sample thickness, and, therefore, they lay the foundation of a new method for the thermal characterization of materials. © 2023 Author(s).",
journal = "Journal of Applied Physics",
title = "Thermal characterization of n-type silicon based on an electro-acoustic analogy",
volume = "133",
number = "24",
pages = "245102",
doi = "10.1063/5.0152495"
}

Stanojević, N., Markushev, D. K., Aleksić, S. M., Pantić, D. S., Galović, S., Markushev, D. D.,& Ordonez-Miranda, J.. (2023). Thermal characterization of n-type silicon based on an electro-acoustic analogy. in Journal of Applied Physics, 133(24), 245102.
https://doi.org/10.1063/5.0152495

Stanojević N, Markushev DK, Aleksić SM, Pantić DS, Galović S, Markushev DD, Ordonez-Miranda J. Thermal characterization of n-type silicon based on an electro-acoustic analogy. in Journal of Applied Physics. 2023;133(24):245102.
doi:10.1063/5.0152495 .

Stanojević, Neda, Markushev, Dragana K., Aleksić, Sanja M., Pantić, Dragan S., Galović, Slobodanka, Markushev, Dragan D., Ordonez-Miranda, Jose, "Thermal characterization of n-type silicon based on an electro-acoustic analogy" in Journal of Applied Physics, 133, no. 24 (2023):245102,
https://doi.org/10.1063/5.0152495 . .

TY  - JOUR
AU  - Stanojević, Neda
AU  - Markushev, Dragana K.
AU  - Aleksić, Sanja M.
AU  - Pantić, Dragan S.
AU  - Galović, Slobodanka
AU  - Markushev, Dragan D.
AU  - Ordonez-Miranda, Jose
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11212
AB  - Based on the analogy between resistor-capacitor (RC) filters and the thermoelastic component of a photoacoustic signal, the complex thermoelastic response of an open photoacoustic cell is described as a simple linear time-invariant system of a low-pass RC filter. This description is done by finding a linear relation between the thermoelastic cut-off frequency and sample material thickness within the range of 10-1000 μm. Based on the theory of a composite piston, we run numerical simulations of the proposed method for n-type silicon, described as either a surface or volume absorber. Theoretical predictions are experimentally validated by using an open photoacoustic cell setup to record the signal of an 850-μm-thick n-type silicon wafer illuminated by a blue light source modulated with frequencies from 20 Hz to 20 kHz. The obtained experimental results confirm the linear dependence of the thermoelastic cut-off frequency on the sample thickness, and, therefore, they lay the foundation of a new method for the thermal characterization of materials. © 2023 Author(s).
T2  - Journal of Applied Physics
T1  - Thermal characterization of n-type silicon based on an electro-acoustic analogy
VL  - 133
IS  - 24
SP  - 245102
DO  - 10.1063/5.0152495
ER  - 

@article{
author = "Stanojević, Neda and Markushev, Dragana K. and Aleksić, Sanja M. and Pantić, Dragan S. and Galović, Slobodanka and Markushev, Dragan D. and Ordonez-Miranda, Jose",
year = "2023",
abstract = "Based on the analogy between resistor-capacitor (RC) filters and the thermoelastic component of a photoacoustic signal, the complex thermoelastic response of an open photoacoustic cell is described as a simple linear time-invariant system of a low-pass RC filter. This description is done by finding a linear relation between the thermoelastic cut-off frequency and sample material thickness within the range of 10-1000 μm. Based on the theory of a composite piston, we run numerical simulations of the proposed method for n-type silicon, described as either a surface or volume absorber. Theoretical predictions are experimentally validated by using an open photoacoustic cell setup to record the signal of an 850-μm-thick n-type silicon wafer illuminated by a blue light source modulated with frequencies from 20 Hz to 20 kHz. The obtained experimental results confirm the linear dependence of the thermoelastic cut-off frequency on the sample thickness, and, therefore, they lay the foundation of a new method for the thermal characterization of materials. © 2023 Author(s).",
journal = "Journal of Applied Physics",
title = "Thermal characterization of n-type silicon based on an electro-acoustic analogy",
volume = "133",
number = "24",
pages = "245102",
doi = "10.1063/5.0152495"
}

Stanojević, N., Markushev, D. K., Aleksić, S. M., Pantić, D. S., Galović, S., Markushev, D. D.,& Ordonez-Miranda, J.. (2023). Thermal characterization of n-type silicon based on an electro-acoustic analogy. in Journal of Applied Physics, 133(24), 245102.
https://doi.org/10.1063/5.0152495

Stanojević N, Markushev DK, Aleksić SM, Pantić DS, Galović S, Markushev DD, Ordonez-Miranda J. Thermal characterization of n-type silicon based on an electro-acoustic analogy. in Journal of Applied Physics. 2023;133(24):245102.
doi:10.1063/5.0152495 .

Stanojević, Neda, Markushev, Dragana K., Aleksić, Sanja M., Pantić, Dragan S., Galović, Slobodanka, Markushev, Dragan D., Ordonez-Miranda, Jose, "Thermal characterization of n-type silicon based on an electro-acoustic analogy" in Journal of Applied Physics, 133, no. 24 (2023):245102,
https://doi.org/10.1063/5.0152495 . .

TY  - CONF
AU  - Đorđević, Katarina Lj.
AU  - Galović, Slobodanka
AU  - Dragaš, Milica A.
AU  - Markushev, Dragana K.
AU  - Markushev, Dragan D.
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11800
AB  - Nano mechanical structures (NEMS) are being developed for application in pressure and temperature sensors. They consist of a very thin oxide layer on a silicon wafer. This layer is placed to improve their sensitivity to pressure changes. In this paper, it was investigated how much this layer affects the physical properties of such structures. In the research, the photoacoustic gas microphone experimental measurement method was applied and neural networks were developed for solving the inverse photoacoustic problem. The obtained results show that controlling the thickness of the oxide layer can be done by engineering the thermal elastic and optical properties of the NEMS.
PB  - Belgrade : Vinča Institute of Nuclear Sciences
C3  - PHOTONICA2023 : 9th International School and Conference on Photonics : book of abstracts; August 28 - September 1, 2023; Belgrade
T1  - Influence of thin oxide layer to photoacoustic signal of nano-mechanical structures
SP  - 38
EP  - 38
UR  - https://hdl.handle.net/21.15107/rcub_vinar_11800
ER  - 

@conference{
author = "Đorđević, Katarina Lj. and Galović, Slobodanka and Dragaš, Milica A. and Markushev, Dragana K. and Markushev, Dragan D.",
year = "2023",
abstract = "Nano mechanical structures (NEMS) are being developed for application in pressure and temperature sensors. They consist of a very thin oxide layer on a silicon wafer. This layer is placed to improve their sensitivity to pressure changes. In this paper, it was investigated how much this layer affects the physical properties of such structures. In the research, the photoacoustic gas microphone experimental measurement method was applied and neural networks were developed for solving the inverse photoacoustic problem. The obtained results show that controlling the thickness of the oxide layer can be done by engineering the thermal elastic and optical properties of the NEMS.",
publisher = "Belgrade : Vinča Institute of Nuclear Sciences",
journal = "PHOTONICA2023 : 9th International School and Conference on Photonics : book of abstracts; August 28 - September 1, 2023; Belgrade",
title = "Influence of thin oxide layer to photoacoustic signal of nano-mechanical structures",
pages = "38-38",
url = "https://hdl.handle.net/21.15107/rcub_vinar_11800"
}

Đorđević, K. Lj., Galović, S., Dragaš, M. A., Markushev, D. K.,& Markushev, D. D.. (2023). Influence of thin oxide layer to photoacoustic signal of nano-mechanical structures. in PHOTONICA2023 : 9th International School and Conference on Photonics : book of abstracts; August 28 - September 1, 2023; Belgrade
Belgrade : Vinča Institute of Nuclear Sciences., 38-38.
https://hdl.handle.net/21.15107/rcub_vinar_11800

Đorđević KL, Galović S, Dragaš MA, Markushev DK, Markushev DD. Influence of thin oxide layer to photoacoustic signal of nano-mechanical structures. in PHOTONICA2023 : 9th International School and Conference on Photonics : book of abstracts; August 28 - September 1, 2023; Belgrade. 2023;:38-38.
https://hdl.handle.net/21.15107/rcub_vinar_11800 .

Đorđević, Katarina Lj., Galović, Slobodanka, Dragaš, Milica A., Markushev, Dragana K., Markushev, Dragan D., "Influence of thin oxide layer to photoacoustic signal of nano-mechanical structures" in PHOTONICA2023 : 9th International School and Conference on Photonics : book of abstracts; August 28 - September 1, 2023; Belgrade (2023):38-38,
https://hdl.handle.net/21.15107/rcub_vinar_11800 .

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  - JOUR
AU  - Đorđević, Katarina Lj.
AU  - Galović, Slobodanka
AU  - Ćojbašić, Žarko М.
AU  - Markushev, Dragan D.
AU  - Markushev, Dragana K.
AU  - Aleksić, Sanja M.
AU  - Pantić, Damjan S.
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10349
AB  - In this paper, electronic semiconductor characterization using reverse-back procedure was applied to different photoacoustic responses aiming to find effective ambipolar diffusion coefficient and a bulk lifetime of the minority carriers. The main idea was to find the small fluctuations in investigated parameters due to detecting possible unwanted sample contaminations and temperature variations during the measurements. The mentioned procedure was based on the application of neural networks. Knowing that in experiments the contaminated surfaces of the sample can play a significant role in the global recombination process that we are measuring and that the unintentionally introduced defects of the sample crystal lattice could vary the carrier lifetime by several orders of magnitude, a method of PA signal adjustment by the reverse-back procedure is developed, based on the changes of the carrier electronic parameters.
T2  - Optical and Quantum Electronics
T1  - Electronic characterization of plasma-thick n-type silicon using neural networks and photoacoustic response
VL  - 54
IS  - 8
SP  - 485
DO  - 10.1007/s11082-022-03808-3
ER  - 

@article{
author = "Đorđević, Katarina Lj. and Galović, Slobodanka and Ćojbašić, Žarko М. and Markushev, Dragan D. and Markushev, Dragana K. and Aleksić, Sanja M. and Pantić, Damjan S.",
year = "2022",
abstract = "In this paper, electronic semiconductor characterization using reverse-back procedure was applied to different photoacoustic responses aiming to find effective ambipolar diffusion coefficient and a bulk lifetime of the minority carriers. The main idea was to find the small fluctuations in investigated parameters due to detecting possible unwanted sample contaminations and temperature variations during the measurements. The mentioned procedure was based on the application of neural networks. Knowing that in experiments the contaminated surfaces of the sample can play a significant role in the global recombination process that we are measuring and that the unintentionally introduced defects of the sample crystal lattice could vary the carrier lifetime by several orders of magnitude, a method of PA signal adjustment by the reverse-back procedure is developed, based on the changes of the carrier electronic parameters.",
journal = "Optical and Quantum Electronics",
title = "Electronic characterization of plasma-thick n-type silicon using neural networks and photoacoustic response",
volume = "54",
number = "8",
pages = "485",
doi = "10.1007/s11082-022-03808-3"
}

Đorđević, K. Lj., Galović, S., Ćojbašić, Ž. М., Markushev, D. D., Markushev, D. K., Aleksić, S. M.,& Pantić, D. S.. (2022). Electronic characterization of plasma-thick n-type silicon using neural networks and photoacoustic response. in Optical and Quantum Electronics, 54(8), 485.
https://doi.org/10.1007/s11082-022-03808-3

Đorđević KL, Galović S, Ćojbašić ŽМ, Markushev DD, Markushev DK, Aleksić SM, Pantić DS. Electronic characterization of plasma-thick n-type silicon using neural networks and photoacoustic response. in Optical and Quantum Electronics. 2022;54(8):485.
doi:10.1007/s11082-022-03808-3 .

Đorđević, Katarina Lj., Galović, Slobodanka, Ćojbašić, Žarko М., Markushev, Dragan D., Markushev, Dragana K., Aleksić, Sanja M., Pantić, Damjan S., "Electronic characterization of plasma-thick n-type silicon using neural networks and photoacoustic response" in Optical and Quantum Electronics, 54, no. 8 (2022):485,
https://doi.org/10.1007/s11082-022-03808-3 . .

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

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

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

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

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

TY  - JOUR
AU  - Markushev, Dragana K.
AU  - Markushev, Dragan D.
AU  - Aleksić, Sanja M.
AU  - Pantić, Dragan S.
AU  - Galović, Slobodanka
AU  - Lukić, D V
AU  - Ordonez-Miranda, Jose
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10198
AB  - The reduction of the photogenerated charge carriers' influence in periodically illuminated thin silicon membranes is investigated by using the experimental setup of an open photoacoustic cell in the standard range of modulation frequencies from 20 Hz to 20 kHz. It is confirmed that the deposition of a 200 nm thin film of titanium dioxide on the 30- and 50 μm silicon membrane leads to a large increase of the thermoelastic component of the photoacoustic signal, which restores the flexibility lost to the membrane under the influence of photogenerated carriers. The effect of the thermoelastic component enhancement is analyzed by observing the displacement of the tested samples along the heat propagation axis, depending on the carrier density and temperature differences on the illuminated and unilluminated sides, for different membrane thicknesses and a constant film thickness. It is found that the effect of enhancement of several orders of magnitude is more visible in thinner membranes due to higher ratios between the film and membrane thicknesses.
T2  - Journal of Applied Physics
T1  - Enhancement of the thermoelastic component of the photoacoustic signal of silicon membranes coated with a thin TiO2 film
VL  - 131
IS  - 8
SP  - 085105
DO  - 10.1063/5.0079902
ER  - 

@article{
author = "Markushev, Dragana K. and Markushev, Dragan D. and Aleksić, Sanja M. and Pantić, Dragan S. and Galović, Slobodanka and Lukić, D V and Ordonez-Miranda, Jose",
year = "2022",
abstract = "The reduction of the photogenerated charge carriers' influence in periodically illuminated thin silicon membranes is investigated by using the experimental setup of an open photoacoustic cell in the standard range of modulation frequencies from 20 Hz to 20 kHz. It is confirmed that the deposition of a 200 nm thin film of titanium dioxide on the 30- and 50 μm silicon membrane leads to a large increase of the thermoelastic component of the photoacoustic signal, which restores the flexibility lost to the membrane under the influence of photogenerated carriers. The effect of the thermoelastic component enhancement is analyzed by observing the displacement of the tested samples along the heat propagation axis, depending on the carrier density and temperature differences on the illuminated and unilluminated sides, for different membrane thicknesses and a constant film thickness. It is found that the effect of enhancement of several orders of magnitude is more visible in thinner membranes due to higher ratios between the film and membrane thicknesses.",
journal = "Journal of Applied Physics",
title = "Enhancement of the thermoelastic component of the photoacoustic signal of silicon membranes coated with a thin TiO2 film",
volume = "131",
number = "8",
pages = "085105",
doi = "10.1063/5.0079902"
}

Markushev, D. K., Markushev, D. D., Aleksić, S. M., Pantić, D. S., Galović, S., Lukić, D. V.,& Ordonez-Miranda, J.. (2022). Enhancement of the thermoelastic component of the photoacoustic signal of silicon membranes coated with a thin TiO2 film. in Journal of Applied Physics, 131(8), 085105.
https://doi.org/10.1063/5.0079902

Markushev DK, Markushev DD, Aleksić SM, Pantić DS, Galović S, Lukić DV, Ordonez-Miranda J. Enhancement of the thermoelastic component of the photoacoustic signal of silicon membranes coated with a thin TiO2 film. in Journal of Applied Physics. 2022;131(8):085105.
doi:10.1063/5.0079902 .

Markushev, Dragana K., Markushev, Dragan D., Aleksić, Sanja M., Pantić, Dragan S., Galović, Slobodanka, Lukić, D V, Ordonez-Miranda, Jose, "Enhancement of the thermoelastic component of the photoacoustic signal of silicon membranes coated with a thin TiO2 film" in Journal of Applied Physics, 131, no. 8 (2022):085105,
https://doi.org/10.1063/5.0079902 . .

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  - Galović, Slobodanka
AU  - Ćojbašić, Ž. M.
AU  - Markushev, Dragan D.
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10917
AB  - In this paper, electronic semiconductor characterization using reverse-back procedure was applied to different photoacoustic (PA) responses aiming to find effective ambipolar diffusion coefficient and a bulk life-time of the minority carriers. The main idea was to find the small fluctuations in investigated parameters due to detecting possible unwanted sample contaminations and temperature variations during the measurements. The mentioned procedure was based on the application of neural networks [1]. Knowing that in experiments the contaminated surfaces of the sample can play a significant role in the global recombination process that we are measuring and that the unintentionally introduced defects of the sample crystal lattice could vary the carrier lifetime by several orders of magnitude, a method of PA signal adjustment by the reverse-back procedure is developed, based on the changes of the carrier electronic parameters.Such changes are detected (Fig.1) and calculated here by analyzing PA signal amplitude ratios A ANN / A expand phase differences ΦANN – Φexpobtainedusing experimental (exp) and network predicted (ANN) thermal and geometrical parameters of the sample [2].The values of photogenerated carrier lifetime and ambipolar diffusion coefficient obtained by the presented method can be used in the quality control procedure of the investigated samples, active control of the experimental conditions and within the general characterization process of semiconductors.
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  - Electronic Semiconductor Characterization Using Reverse-Back Procedure Based on Neural Networks and Photoacoustic Response
SP  - 169
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10917
ER  - 

@conference{
author = "Đorđević, Katarina Lj. and Galović, Slobodanka and Ćojbašić, Ž. M. and Markushev, Dragan D.",
year = "2021",
abstract = "In this paper, electronic semiconductor characterization using reverse-back procedure was applied to different photoacoustic (PA) responses aiming to find effective ambipolar diffusion coefficient and a bulk life-time of the minority carriers. The main idea was to find the small fluctuations in investigated parameters due to detecting possible unwanted sample contaminations and temperature variations during the measurements. The mentioned procedure was based on the application of neural networks [1]. Knowing that in experiments the contaminated surfaces of the sample can play a significant role in the global recombination process that we are measuring and that the unintentionally introduced defects of the sample crystal lattice could vary the carrier lifetime by several orders of magnitude, a method of PA signal adjustment by the reverse-back procedure is developed, based on the changes of the carrier electronic parameters.Such changes are detected (Fig.1) and calculated here by analyzing PA signal amplitude ratios A ANN / A expand phase differences ΦANN – Φexpobtainedusing experimental (exp) and network predicted (ANN) thermal and geometrical parameters of the sample [2].The values of photogenerated carrier lifetime and ambipolar diffusion coefficient obtained by the presented method can be used in the quality control procedure of the investigated samples, active control of the experimental conditions and within the general characterization process of semiconductors.",
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 = "Electronic Semiconductor Characterization Using Reverse-Back Procedure Based on Neural Networks and Photoacoustic Response",
pages = "169",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10917"
}

Đorđević, K. Lj., Galović, S., Ćojbašić, Ž. M.,& Markushev, D. D.. (2021). Electronic Semiconductor Characterization Using Reverse-Back Procedure Based on Neural Networks and Photoacoustic Response. 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., 169.
https://hdl.handle.net/21.15107/rcub_vinar_10917

Đorđević KL, Galović S, Ćojbašić ŽM, Markushev DD. Electronic Semiconductor Characterization Using Reverse-Back Procedure Based on Neural Networks and Photoacoustic Response. 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;:169.
https://hdl.handle.net/21.15107/rcub_vinar_10917 .

Đorđević, Katarina Lj., Galović, Slobodanka, Ćojbašić, Ž. M., Markushev, Dragan D., "Electronic Semiconductor Characterization Using Reverse-Back Procedure Based on Neural Networks and Photoacoustic Response" 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):169,
https://hdl.handle.net/21.15107/rcub_vinar_10917 .

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

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

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

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

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

TY  - JOUR
AU  - Đorđević, Кatarina Lj.
AU  - Galović, Slobodanka
AU  - Jordović-Pavlović, Miroslava I.
AU  - Ćojbašić, Žarko М.
AU  - Markushev, Dragan D.
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9581
AB  - This paper provides an overview of the characteristics of different neural networks trained on the same theoretical database of n-type silicon photoacoustic signals. By adding different levels of random Gaussian noise to the training input signals, two important goals were achieved. First, the optimal level of noise was found which significantly shortens the training networks with minimal loss of accuracy of its predictions. Second, the termination criteria of networks training were activated to avoid overtraining, i.e., networks generalization was performed. A networks efficiency analysis was performed on both theoretical and experimental photoacoustic signals, resulting in a selection of one neural network that is optimal to the performance requirements of the real experiment. It is indicated that the application of such trained networks is more reliable on thicker semiconductors, whose thickness is greater than the value of the carrier diffusion length in the investigated sample. © 2020, Springer Nature B.V.
T2  - Silicon
T1  - Improvement of Neural Networks Applied to Photoacoustic Signals of Semiconductors with Added Noise
VL  - 13
IS  - 9
SP  - 2959
EP  - 2969
DO  - 10.1007/s12633-020-00606-y
ER  - 

@article{
author = "Đorđević, Кatarina Lj. and Galović, Slobodanka and Jordović-Pavlović, Miroslava I. and Ćojbašić, Žarko М. and Markushev, Dragan D.",
year = "2021",
abstract = "This paper provides an overview of the characteristics of different neural networks trained on the same theoretical database of n-type silicon photoacoustic signals. By adding different levels of random Gaussian noise to the training input signals, two important goals were achieved. First, the optimal level of noise was found which significantly shortens the training networks with minimal loss of accuracy of its predictions. Second, the termination criteria of networks training were activated to avoid overtraining, i.e., networks generalization was performed. A networks efficiency analysis was performed on both theoretical and experimental photoacoustic signals, resulting in a selection of one neural network that is optimal to the performance requirements of the real experiment. It is indicated that the application of such trained networks is more reliable on thicker semiconductors, whose thickness is greater than the value of the carrier diffusion length in the investigated sample. © 2020, Springer Nature B.V.",
journal = "Silicon",
title = "Improvement of Neural Networks Applied to Photoacoustic Signals of Semiconductors with Added Noise",
volume = "13",
number = "9",
pages = "2959-2969",
doi = "10.1007/s12633-020-00606-y"
}

Đorđević, К. Lj., Galović, S., Jordović-Pavlović, M. I., Ćojbašić, Ž. М.,& Markushev, D. D.. (2021). Improvement of Neural Networks Applied to Photoacoustic Signals of Semiconductors with Added Noise. in Silicon, 13(9), 2959-2969.
https://doi.org/10.1007/s12633-020-00606-y

Đorđević КL, Galović S, Jordović-Pavlović MI, Ćojbašić ŽМ, Markushev DD. Improvement of Neural Networks Applied to Photoacoustic Signals of Semiconductors with Added Noise. in Silicon. 2021;13(9):2959-2969.
doi:10.1007/s12633-020-00606-y .

Đorđević, Кatarina Lj., Galović, Slobodanka, Jordović-Pavlović, Miroslava I., Ćojbašić, Žarko М., Markushev, Dragan D., "Improvement of Neural Networks Applied to Photoacoustic Signals of Semiconductors with Added Noise" in Silicon, 13, no. 9 (2021):2959-2969,
https://doi.org/10.1007/s12633-020-00606-y . .

TY  - JOUR
AU  - Đorđević, Katarina Lj.
AU  - Markushev, Dragan D.
AU  - Ćojbašić, Žarko М.
AU  - Galović, Slobodanka
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9075
AB  - We developed a method of inverse problem solving in semiconductor photoacoustics based on neural networks application. Simple structured neural networks, trained on a large set of data obtained by the well–known theoretical models in the 20 Hz–20 kHz modulation frequency range, are applied to determine thermal diffusivity, coefficient of linear expansion and thickness of n–type silicon samples, using undistorted experimental photoacoustic signals. The efficiency of the neural networks was tested depending on the type of input data, showing the best performances in the case when signal amplitudes and phases are simultaneously presented to the network. Real–time parameter prediction is achieved together with high accuracy and reliability allowing one to perform the full characterization of a sample in the frequency domain.
T2  - Inverse Problems in Science and Engineering
T1  - Inverse problem solving in semiconductor photoacoustics by neural networks
VL  - 29
IS  - 2
SP  - 248
EP  - 262
DO  - 10.1080/17415977.2020.1787405
ER  - 

@article{
author = "Đorđević, Katarina Lj. and Markushev, Dragan D. and Ćojbašić, Žarko М. and Galović, Slobodanka",
year = "2021",
abstract = "We developed a method of inverse problem solving in semiconductor photoacoustics based on neural networks application. Simple structured neural networks, trained on a large set of data obtained by the well–known theoretical models in the 20 Hz–20 kHz modulation frequency range, are applied to determine thermal diffusivity, coefficient of linear expansion and thickness of n–type silicon samples, using undistorted experimental photoacoustic signals. The efficiency of the neural networks was tested depending on the type of input data, showing the best performances in the case when signal amplitudes and phases are simultaneously presented to the network. Real–time parameter prediction is achieved together with high accuracy and reliability allowing one to perform the full characterization of a sample in the frequency domain.",
journal = "Inverse Problems in Science and Engineering",
title = "Inverse problem solving in semiconductor photoacoustics by neural networks",
volume = "29",
number = "2",
pages = "248-262",
doi = "10.1080/17415977.2020.1787405"
}

Đorđević, K. Lj., Markushev, D. D., Ćojbašić, Ž. М.,& Galović, S.. (2021). Inverse problem solving in semiconductor photoacoustics by neural networks. in Inverse Problems in Science and Engineering, 29(2), 248-262.
https://doi.org/10.1080/17415977.2020.1787405

Đorđević KL, Markushev DD, Ćojbašić ŽМ, Galović S. Inverse problem solving in semiconductor photoacoustics by neural networks. in Inverse Problems in Science and Engineering. 2021;29(2):248-262.
doi:10.1080/17415977.2020.1787405 .

Đorđević, Katarina Lj., Markushev, Dragan D., Ćojbašić, Žarko М., Galović, Slobodanka, "Inverse problem solving in semiconductor photoacoustics by neural networks" in Inverse Problems in Science and Engineering, 29, no. 2 (2021):248-262,
https://doi.org/10.1080/17415977.2020.1787405 . .

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 . .