Popović, Marica N.

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  • Popović, Marica N. (10)

Author's Bibliography

Deep Neural Network Application in the Phase-Match Calibration of Gas–Microphone Photoacoustics

Jordović-Pavlović, Miroslava I.; Markushev, Dragan D.; Kupusinac, Aleksandar; Đorđević, Katarina Lj.; Nešić, Mioljub V.; Galović, Slobodanka; Popović, Marica N.

(2020)

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",
url = "https://vinar.vin.bg.ac.rs/handle/123456789/8912",
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.
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. International Journal of Thermophysics. 2020;41(6):73
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" International Journal of Thermophysics, 41, no. 6 (2020):73,
https://doi.org/10.1007/s10765-020-02650-7 .
1

Photoacoustic optical semiconductor characterization based on machine learning and reverse-back procedure

Đorđević, Katarina Lj.; Galović, Slobodanka; Jordović-Pavlović, Miroslava I.; Nešić, Mioljub V.; Popović, Marica N.; Ćojbašić, Žarko М.; Markushev, Dragan D.

(2020)

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",
url = "https://vinar.vin.bg.ac.rs/handle/123456789/8972",
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.
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. Optical and Quantum Electronics. 2020;52(5):247
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" Optical and Quantum Electronics, 52, no. 5 (2020):247,
https://doi.org/10.1007/s11082-020-02373-x .
1
1

Computationally intelligent description of a photoacoustic detector

Jordović-Pavlović, Miroslava I.; Kupusinac, Aleksandar; Đorđević, Katarina Lj.; Galović, Slobodanka; Markushev, Dragan D.; Nešić, Mioljub V.; Popović, Marica N.

(2020)

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",
url = "https://vinar.vin.bg.ac.rs/handle/123456789/8982",
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.
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. Optical and Quantum Electronics. 2020;52(5):246
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" Optical and Quantum Electronics, 52, no. 5 (2020):246,
https://doi.org/10.1007/s11082-020-02372-y .
1
1

The application of artificial neural networks in solid-state photoacoustics for the recognition of microphone response effects in the frequency domain

Jordović-Pavlović, Miroslava I.; Stanković, Milena M.; Popović, Marica N.; Ćojbašić, Žarko М.; Galović, Slobodanka; Markushev, Dragan D.

(2020)

TY  - JOUR
AU  - Jordović-Pavlović, Miroslava I.
AU  - Stanković, Milena M.
AU  - Popović, Marica N.
AU  - Ćojbašić, Žarko М.
AU  - Galović, Slobodanka
AU  - Markushev, Dragan D.
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9005
AB  - An analysis of the application of neural networks as a reliable, precise, and fast tool in open-cell photoacoustics setups for the recognition of microphone effects in the frequency domain from 10 Hz to 100 × 104 Hz is presented. The network is trained to achieve simultaneous recognition of microphone characteristics, which are the most important parameters leading to the distortion of photoacoustic signals in both amplitude and phase. The training is carried out using a theoretically obtained database of amplitudes and phases as the input and five microphone characteristics as the output, based on transmission measurements obtained using an open photoacoustic cell setup. The results show that the network can precisely and reliably interpolate the output to recognize microphone characteristics including electronic effects in the low and acoustic effects in the high frequency domain. The simulations reveal that the network is not capable of interpolating an input including modulation frequencies. Consequently, in real applications, the network training must be adapted to the experimental frequencies, or vice versa. The total number of frequencies used in the experiment must also be in accordance with the total number of frequencies used in the network training.
T2  - Journal of Computational Electronics
T1  - The application of artificial neural networks in solid-state photoacoustics for the recognition of microphone response effects in the frequency domain
VL  - 19
IS  - 3
SP  - 1268
EP  - 1280
DO  - 10.1007/s10825-020-01507-4
ER  - 
@article{
author = "Jordović-Pavlović, Miroslava I. and Stanković, Milena M. and Popović, Marica N. and Ćojbašić, Žarko М. and Galović, Slobodanka and Markushev, Dragan D.",
year = "2020",
url = "https://vinar.vin.bg.ac.rs/handle/123456789/9005",
abstract = "An analysis of the application of neural networks as a reliable, precise, and fast tool in open-cell photoacoustics setups for the recognition of microphone effects in the frequency domain from 10 Hz to 100 × 104 Hz is presented. The network is trained to achieve simultaneous recognition of microphone characteristics, which are the most important parameters leading to the distortion of photoacoustic signals in both amplitude and phase. The training is carried out using a theoretically obtained database of amplitudes and phases as the input and five microphone characteristics as the output, based on transmission measurements obtained using an open photoacoustic cell setup. The results show that the network can precisely and reliably interpolate the output to recognize microphone characteristics including electronic effects in the low and acoustic effects in the high frequency domain. The simulations reveal that the network is not capable of interpolating an input including modulation frequencies. Consequently, in real applications, the network training must be adapted to the experimental frequencies, or vice versa. The total number of frequencies used in the experiment must also be in accordance with the total number of frequencies used in the network training.",
journal = "Journal of Computational Electronics",
title = "The application of artificial neural networks in solid-state photoacoustics for the recognition of microphone response effects in the frequency domain",
volume = "19",
number = "3",
pages = "1268-1280",
doi = "10.1007/s10825-020-01507-4"
}
Jordović-Pavlović, M. I., Stanković, M. M., Popović, M. N., Ćojbašić, Ž. М., Galović, S.,& Markushev, D. D. (2020). The application of artificial neural networks in solid-state photoacoustics for the recognition of microphone response effects in the frequency domain.
Journal of Computational Electronics, 19(3), 1268-1280.
https://doi.org/10.1007/s10825-020-01507-4
Jordović-Pavlović MI, Stanković MM, Popović MN, Ćojbašić ŽМ, Galović S, Markushev DD. The application of artificial neural networks in solid-state photoacoustics for the recognition of microphone response effects in the frequency domain. Journal of Computational Electronics. 2020;19(3):1268-1280
Jordović-Pavlović Miroslava I., Stanković Milena M., Popović Marica N., Ćojbašić Žarko М., Galović Slobodanka, Markushev Dragan D., "The application of artificial neural networks in solid-state photoacoustics for the recognition of microphone response effects in the frequency domain" Journal of Computational Electronics, 19, no. 3 (2020):1268-1280,
https://doi.org/10.1007/s10825-020-01507-4 .

Developing the Techniques for Solving the Inverse Problem in Photoacoustics

Nešić, Mioljub V.; Popović, Marica N.; Galović, Slobodanka

(2019)

TY  - JOUR
AU  - Nešić, Mioljub V.
AU  - Popović, Marica N.
AU  - Galović, Slobodanka
PY  - 2019
UR  - http://www.mdpi.com/2218-2004/7/1/24
UR  - http://vinar.vin.bg.ac.rs/handle/123456789/8225
AB  - In this work, theoretically/mathematically simulated models are derived for the photoacoustic (PA) frequency response of both volume and surface optically-absorbing samples in a minimum volume PA cell. In the derivation process, the thermal memory influence of both the sample and the air of the gas column are accounted for, as well as the influence of the measurement chain. Within the analysis of the TMS model, the influence of optical, thermal, and elastic properties of the sample was investigated. This analysis revealed that some of the processes, characterized by certain sample properties, exert their dominance only in limited modulation frequency ranges, which are shown to be dependent upon the choice of the sample material and its thickness. Based on the described analysis, two methods are developed for TMS model parameter determination, i.e., sample properties which dominantly influence the PA response in the measurement range: a self-consistent procedure for solving the exponential problems of mathematical physics, and a well-trained three-layer perceptron with back propagation, based upon theory of neural networks. The results of the application of both inverse problem solving methods are compared and discussed. The first method is shown to have the advantage in the number of properties which are determined, while the second one is advantageous in gaining high accuracy in the determination of thermal diffusivity, explicitly. Finally, the execution of inverse PA problem is implemented on experimental measurements performed on macromolecule samples, the results are discussed, and the most important conclusions are derived and presented.
T2  - Atoms
T1  - Developing the Techniques for Solving the Inverse Problem in Photoacoustics
VL  - 7
IS  - 1
SP  - 24
DO  - 10.3390/atoms7010024
ER  - 
@article{
author = "Nešić, Mioljub V. and Popović, Marica N. and Galović, Slobodanka",
year = "2019",
url = "http://www.mdpi.com/2218-2004/7/1/24, http://vinar.vin.bg.ac.rs/handle/123456789/8225",
abstract = "In this work, theoretically/mathematically simulated models are derived for the photoacoustic (PA) frequency response of both volume and surface optically-absorbing samples in a minimum volume PA cell. In the derivation process, the thermal memory influence of both the sample and the air of the gas column are accounted for, as well as the influence of the measurement chain. Within the analysis of the TMS model, the influence of optical, thermal, and elastic properties of the sample was investigated. This analysis revealed that some of the processes, characterized by certain sample properties, exert their dominance only in limited modulation frequency ranges, which are shown to be dependent upon the choice of the sample material and its thickness. Based on the described analysis, two methods are developed for TMS model parameter determination, i.e., sample properties which dominantly influence the PA response in the measurement range: a self-consistent procedure for solving the exponential problems of mathematical physics, and a well-trained three-layer perceptron with back propagation, based upon theory of neural networks. The results of the application of both inverse problem solving methods are compared and discussed. The first method is shown to have the advantage in the number of properties which are determined, while the second one is advantageous in gaining high accuracy in the determination of thermal diffusivity, explicitly. Finally, the execution of inverse PA problem is implemented on experimental measurements performed on macromolecule samples, the results are discussed, and the most important conclusions are derived and presented.",
journal = "Atoms",
title = "Developing the Techniques for Solving the Inverse Problem in Photoacoustics",
volume = "7",
number = "1",
pages = "24",
doi = "10.3390/atoms7010024"
}
Nešić, M. V., Popović, M. N.,& Galović, S. (2019). Developing the Techniques for Solving the Inverse Problem in Photoacoustics.
Atoms, 7(1), 24.
https://doi.org/10.3390/atoms7010024
Nešić MV, Popović MN, Galović S. Developing the Techniques for Solving the Inverse Problem in Photoacoustics. Atoms. 2019;7(1):24
Nešić Mioljub V., Popović Marica N., Galović Slobodanka, "Developing the Techniques for Solving the Inverse Problem in Photoacoustics" Atoms, 7, no. 1 (2019):24,
https://doi.org/10.3390/atoms7010024 .
2
7
6
6

Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory

Popović, Marica N.; Nešić, Mioljub V.; Živanov, Miloš; Markushev, Dragan D.; Galović, Slobodanka

(2018)

TY  - JOUR
AU  - Popović, Marica N.
AU  - Nešić, Mioljub V.
AU  - Živanov, Miloš
AU  - Markushev, Dragan D.
AU  - Galović, Slobodanka
PY  - 2018
UR  - http://link.springer.com/10.1007/s11082-018-1586-x
UR  - http://vinar.vin.bg.ac.rs/handle/123456789/7834
AB  - In this paper, the models of surface temperature variations have been derived. Based on these models, photoacoustic (PA) response has been commented for transmission PA setup configurations of two-layer optically transparent samples, including the impact of finite heat propagation velocity through both layers (thermal memory) and the existence of volume absorption in both layers. By analyzing the derived model it has been shown that many parameters influence the photoacoustic response. Based on the derived model, some approximations have been discussed in order to enable the development of more accurate inverse solutions of photoacoustic problem, and the estimation of optical, thermal and other related physical properties of versatile materials. By using specific two-layer structure that consist of aluminum sample coated with layer of color dye, used in some photoacoustic experimental investigations, the influence of thermal memory properties of either the sample or the coating has been discussed. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.
T2  - Optical and Quantum Electronics
T1  - Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory
VL  - 50
IS  - 9
SP  - 330
DO  - 10.1007/s11082-018-1586-x
ER  - 
@article{
author = "Popović, Marica N. and Nešić, Mioljub V. and Živanov, Miloš and Markushev, Dragan D. and Galović, Slobodanka",
year = "2018",
url = "http://link.springer.com/10.1007/s11082-018-1586-x, http://vinar.vin.bg.ac.rs/handle/123456789/7834",
abstract = "In this paper, the models of surface temperature variations have been derived. Based on these models, photoacoustic (PA) response has been commented for transmission PA setup configurations of two-layer optically transparent samples, including the impact of finite heat propagation velocity through both layers (thermal memory) and the existence of volume absorption in both layers. By analyzing the derived model it has been shown that many parameters influence the photoacoustic response. Based on the derived model, some approximations have been discussed in order to enable the development of more accurate inverse solutions of photoacoustic problem, and the estimation of optical, thermal and other related physical properties of versatile materials. By using specific two-layer structure that consist of aluminum sample coated with layer of color dye, used in some photoacoustic experimental investigations, the influence of thermal memory properties of either the sample or the coating has been discussed. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.",
journal = "Optical and Quantum Electronics",
title = "Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory",
volume = "50",
number = "9",
pages = "330",
doi = "10.1007/s11082-018-1586-x"
}
Popović, M. N., Nešić, M. V., Živanov, M., Markushev, D. D.,& Galović, S. (2018). Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory.
Optical and Quantum Electronics, 50(9), 330.
https://doi.org/10.1007/s11082-018-1586-x
Popović MN, Nešić MV, Živanov M, Markushev DD, Galović S. Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory. Optical and Quantum Electronics. 2018;50(9):330
Popović Marica N., Nešić Mioljub V., Živanov Miloš, Markushev Dragan D., Galović Slobodanka, "Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory" Optical and Quantum Electronics, 50, no. 9 (2018):330,
https://doi.org/10.1007/s11082-018-1586-x .
4
3
4

Photoacoustic Response of Thin Films - Thermal Memory Influence

Nešić, Mioljub V.; Popović, Marica N.; Stojanović, Zoran A.; Soskic, Zlatan; Galović, Slobodanka

(2013)

TY  - JOUR
AU  - Nešić, Mioljub V.
AU  - Popović, Marica N.
AU  - Stojanović, Zoran A.
AU  - Soskic, Zlatan
AU  - Galović, Slobodanka
PY  - 2013
UR  - http://vinar.vin.bg.ac.rs/handle/123456789/5426
AB  - On the basis of the generalized photoacoustic response model, which includes the influence of thermal memory on both thermoconducting and thermoelastic components, photoacoustic response of thin films is analysed. It is demonstrated that the influence of thermal memory is manifested at frequencies above certain boundary frequency, which depends on thermal memory properties of the sample and its depth. A linear relation, linking heat propagation velocity and measured signal, is derived. Taking into account the confinement of the frequency range imposed by the measuring system, it is indicated that thermal memory properties of non-cristaline thin films can be determined in a photoacoustic experiment.
T2  - Hemijska industrija
T1  - Photoacoustic Response of Thin Films - Thermal Memory Influence
VL  - 67
IS  - 1
SP  - 139
EP  - 146
DO  - 10.2298/HEMIND120302052N
ER  - 
@article{
author = "Nešić, Mioljub V. and Popović, Marica N. and Stojanović, Zoran A. and Soskic, Zlatan and Galović, Slobodanka",
year = "2013",
url = "http://vinar.vin.bg.ac.rs/handle/123456789/5426",
abstract = "On the basis of the generalized photoacoustic response model, which includes the influence of thermal memory on both thermoconducting and thermoelastic components, photoacoustic response of thin films is analysed. It is demonstrated that the influence of thermal memory is manifested at frequencies above certain boundary frequency, which depends on thermal memory properties of the sample and its depth. A linear relation, linking heat propagation velocity and measured signal, is derived. Taking into account the confinement of the frequency range imposed by the measuring system, it is indicated that thermal memory properties of non-cristaline thin films can be determined in a photoacoustic experiment.",
journal = "Hemijska industrija",
title = "Photoacoustic Response of Thin Films - Thermal Memory Influence",
volume = "67",
number = "1",
pages = "139-146",
doi = "10.2298/HEMIND120302052N"
}
Nešić, M. V., Popović, M. N., Stojanović, Z. A., Soskic, Z.,& Galović, S. (2013). Photoacoustic Response of Thin Films - Thermal Memory Influence.
Hemijska industrija, 67(1), 139-146.
https://doi.org/10.2298/HEMIND120302052N
Nešić MV, Popović MN, Stojanović ZA, Soskic Z, Galović S. Photoacoustic Response of Thin Films - Thermal Memory Influence. Hemijska industrija. 2013;67(1):139-146
Nešić Mioljub V., Popović Marica N., Stojanović Zoran A., Soskic Zlatan, Galović Slobodanka, "Photoacoustic Response of Thin Films - Thermal Memory Influence" Hemijska industrija, 67, no. 1 (2013):139-146,
https://doi.org/10.2298/HEMIND120302052N .
2
2
2

Influence of Thermal Memory on the Thermoelastic Bending Component of Photoacoustic Response

Nešić, Mioljub V.; Popović, Marica N.; Galović, Slobodanka

(2011)

TY  - JOUR
AU  - Nešić, Mioljub V.
AU  - Popović, Marica N.
AU  - Galović, Slobodanka
PY  - 2011
UR  - http://vinar.vin.bg.ac.rs/handle/123456789/4574
AB  - In this work, the thermoelastic component of the photoacoustic response is derived, including the thermal memory of the material. The comparison between this model and the classic one, which does not account for the influence of thermal memory is made. It has been noticed that the two models tend to overlap at very high and very low frequencies of the light modulation spectrum, while in the middle range some deviations become more apparent, which proves that thermal memory must be taken into account. It has also been shown that the limits of this range are the function of heat propagation velocity and thickness of the sample. Based upon the processing of obtained data, it has been concluded that the characteristics of the output signal, in the range of the interest, are highly influenced by thermal dynamic qualities, like heat diffusivity and thermal relaxation time, as well as the sample thickness.
T2  - Hemijska industrija
T1  - Influence of Thermal Memory on the Thermoelastic Bending Component of Photoacoustic Response
VL  - 65
IS  - 3
SP  - 219
EP  - 227
DO  - 10.2298/HEMIND110209021N
ER  - 
@article{
author = "Nešić, Mioljub V. and Popović, Marica N. and Galović, Slobodanka",
year = "2011",
url = "http://vinar.vin.bg.ac.rs/handle/123456789/4574",
abstract = "In this work, the thermoelastic component of the photoacoustic response is derived, including the thermal memory of the material. The comparison between this model and the classic one, which does not account for the influence of thermal memory is made. It has been noticed that the two models tend to overlap at very high and very low frequencies of the light modulation spectrum, while in the middle range some deviations become more apparent, which proves that thermal memory must be taken into account. It has also been shown that the limits of this range are the function of heat propagation velocity and thickness of the sample. Based upon the processing of obtained data, it has been concluded that the characteristics of the output signal, in the range of the interest, are highly influenced by thermal dynamic qualities, like heat diffusivity and thermal relaxation time, as well as the sample thickness.",
journal = "Hemijska industrija",
title = "Influence of Thermal Memory on the Thermoelastic Bending Component of Photoacoustic Response",
volume = "65",
number = "3",
pages = "219-227",
doi = "10.2298/HEMIND110209021N"
}
Nešić, M. V., Popović, M. N.,& Galović, S. (2011). Influence of Thermal Memory on the Thermoelastic Bending Component of Photoacoustic Response.
Hemijska industrija, 65(3), 219-227.
https://doi.org/10.2298/HEMIND110209021N
Nešić MV, Popović MN, Galović S. Influence of Thermal Memory on the Thermoelastic Bending Component of Photoacoustic Response. Hemijska industrija. 2011;65(3):219-227
Nešić Mioljub V., Popović Marica N., Galović Slobodanka, "Influence of Thermal Memory on the Thermoelastic Bending Component of Photoacoustic Response" Hemijska industrija, 65, no. 3 (2011):219-227,
https://doi.org/10.2298/HEMIND110209021N .
2
3
3

Analysis of Photothermal Response of Thin Solid Films By Analogy with Passive Linear Electric Networks

Galović, Slobodanka; Soskic, Zlatan N.; Popović, Marica N.

(2009)

TY  - JOUR
AU  - Galović, Slobodanka
AU  - Soskic, Zlatan N.
AU  - Popović, Marica N.
PY  - 2009
UR  - http://vinar.vin.bg.ac.rs/handle/123456789/3862
AB  - The paper presents conditions that should be met in order to make the photothermal induced temperature variations of a solid sample analogous to the voltage variations of the electric network with passive linear elements. Further analysis shows that such analogy enhances experimental determination of the thermal properties of thin solid layers by photothermal frequency method
T2  - Thermal Science
T1  - Analysis of Photothermal Response of Thin Solid Films By Analogy with Passive Linear Electric Networks
VL  - 13
IS  - 4
SP  - 129
EP  - 142
DO  - 10.2298/TSCI0904129G
ER  - 
@article{
author = "Galović, Slobodanka and Soskic, Zlatan N. and Popović, Marica N.",
year = "2009",
url = "http://vinar.vin.bg.ac.rs/handle/123456789/3862",
abstract = "The paper presents conditions that should be met in order to make the photothermal induced temperature variations of a solid sample analogous to the voltage variations of the electric network with passive linear elements. Further analysis shows that such analogy enhances experimental determination of the thermal properties of thin solid layers by photothermal frequency method",
journal = "Thermal Science",
title = "Analysis of Photothermal Response of Thin Solid Films By Analogy with Passive Linear Electric Networks",
volume = "13",
number = "4",
pages = "129-142",
doi = "10.2298/TSCI0904129G"
}
Galović, S., Soskic, Z. N.,& Popović, M. N. (2009). Analysis of Photothermal Response of Thin Solid Films By Analogy with Passive Linear Electric Networks.
Thermal Science, 13(4), 129-142.
https://doi.org/10.2298/TSCI0904129G
Galović S, Soskic ZN, Popović MN. Analysis of Photothermal Response of Thin Solid Films By Analogy with Passive Linear Electric Networks. Thermal Science. 2009;13(4):129-142
Galović Slobodanka, Soskic Zlatan N., Popović Marica N., "Analysis of Photothermal Response of Thin Solid Films By Analogy with Passive Linear Electric Networks" Thermal Science, 13, no. 4 (2009):129-142,
https://doi.org/10.2298/TSCI0904129G .
5
6
6

Thermal memory effects to photothermal pulse response

Popović, Marica N.; Stojanović, Zoran A.; Galović, Slobodanka

(2007)

TY  - JOUR
AU  - Popović, Marica N.
AU  - Stojanović, Zoran A.
AU  - Galović, Slobodanka
PY  - 2007
UR  - http://vinar.vin.bg.ac.rs/handle/123456789/6738
AB  - An analytical model that describes surface temperature variations of media with thermal memory stimulated by laser pulses was developed. The influence of thermal memory for semi-infinite sample was analyzed by comparing our results with classical model results which neglect the thermal memory of materials for different pulse widths and for different pulse shapes. It was shown that this influence was outstanding around steep changes of the incentive flux and for short incident pulses.
T2  - Hemijska industrija
T1  - Thermal memory effects to photothermal pulse response
VL  - 61
IS  - 2
SP  - 66
EP  - 70
DO  - 10.2298/HEMIND0702066P
ER  - 
@article{
author = "Popović, Marica N. and Stojanović, Zoran A. and Galović, Slobodanka",
year = "2007",
url = "http://vinar.vin.bg.ac.rs/handle/123456789/6738",
abstract = "An analytical model that describes surface temperature variations of media with thermal memory stimulated by laser pulses was developed. The influence of thermal memory for semi-infinite sample was analyzed by comparing our results with classical model results which neglect the thermal memory of materials for different pulse widths and for different pulse shapes. It was shown that this influence was outstanding around steep changes of the incentive flux and for short incident pulses.",
journal = "Hemijska industrija",
title = "Thermal memory effects to photothermal pulse response",
volume = "61",
number = "2",
pages = "66-70",
doi = "10.2298/HEMIND0702066P"
}
Popović, M. N., Stojanović, Z. A.,& Galović, S. (2007). Thermal memory effects to photothermal pulse response.
Hemijska industrija, 61(2), 66-70.
https://doi.org/10.2298/HEMIND0702066P
Popović MN, Stojanović ZA, Galović S. Thermal memory effects to photothermal pulse response. Hemijska industrija. 2007;61(2):66-70
Popović Marica N., Stojanović Zoran A., Galović Slobodanka, "Thermal memory effects to photothermal pulse response" Hemijska industrija, 61, no. 2 (2007):66-70,
https://doi.org/10.2298/HEMIND0702066P .
1
1