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.
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Aleksić, S.M., Markushev, D.K., Pantić, D.S., Rabasović, M.D., Markushev, D.D., Todorović, D.M.: Electro-acoustic influence of measuring system on the photoacoustic signal amplitude and phase in frequency domain. Facta Univ. Ser. Phys. Chem. Technol. 14(1), 9–20 (2016). https://doi.org/10.2298/FUPCT1601009A
Djordjevic, K.Lj., Markushev, D.D., Ćojbašić, Ž.M., Galović, S.P.: Photoacoustic measurements of the thermal and elastic properties of n-type silicon using neural networks. Silicon (2019). https://doi.org/10.1007/s12633-019-00213-6
Lukić, M., Čojbašić, Ž., Rabasović, M.D., Markushev, D.D., Todorović, D.M.: Neural networks-based real-time determination of laser beam spatial profile and vibrational-to-translational relaxation time within pulsed photoacoustics. Int. J. Thermophys. 34(8–9), 1795–1802 (2013). https://doi.org/10.1007/s10765-013-1507-y
Lukić, M., Čojbašić, Ž., Rabasović, M.D., Markushev, D.D.: Computationally intelligent pulsed photoacoustics. Meas. Sci. Technol. 25(12), 125203 (2014). https://doi.org/10.1088/0957-0233/25/12/125203
Markushev, D.K., Markushev, D.D., Galović, S.P., Aleksić, S., Pantić, D.S., Todorović, D.M.: The surface recombination velocity and bulk lifetime influences on photogenerated excess carrier density and temperature distributions in n-type silicon excited by a frequency-modulated light source. Facta Univ. Ser. Electron. Energ. 31(2), 313–328 (2018). https://doi.org/10.2298/FUEE1802313M
Markushev, D.D., Rabasović, M.D., Todorović, D.M., Galović, S., Bialkowski, S.E.: Photoacoustic signal and noise analysis for Si thin plate: signal correction in frequency domain. Rev. Sci. Instrum. 86, 035110 (2015). https://doi.org/10.1063/1.4914894
Markushev, D.D., Ordonez-Miranda, J., Rabasović, M.D., Chirtoc, M., Todorović, D.M., Bialkowski, S.E., Korte, D., Franko, M.: Thermal and elastic characterization of glassy carbon thin films by photoacoustic measurements. Eur. Phys. J. Plus 132(1), 33 (2017). https://doi.org/10.1140/epjp/i2017-11307-2
Nešić, M.V., Gusavac, P., Popović, M.N., Šoškić, Z.N., Galović, S.P.: Thermal memory influence on the thermoconducting component of indirect photoacoustic response. Phys. Scr. T. 149, 014018 (2012). https://doi.org/10.1088/0031-8949/2012/T149/014018
Nešić, M., Popovic, M., Galovic, S.: Developing the techniques for solving the inverse problem in photoacoustics. Atoms 7(1), 24 (2019). https://doi.org/10.3390/atoms7010024
Pavlovic, M.J., Kupusinac, A., Popovic, M.: Classification model for microphone type recognition. In: Proceedings of 11th International scientific conference Science and Higher Education in Function of Sustainable Development—SED (2019). ISBN 978-86-83573-95-0. http://arxiv.org/abs/1906.09958
Pavlović, M.J., Popović, M., Markushev, D., Galović, S.: Deep learning in development of model-dependent diagnostic: recognition of detector characteristics in measured responses. In: Proceedings of 6th International Conference on Electrical, Electronic, and Computing Engineering (IcETRAN) (2019). ISBN 978-86-7466-785-9
Popovic, M.N., Furundzic, D., Galovic, S.P.: Photothermal depth profiling of optical gradient materials by neural network. Publ. Astron. Obs. Belgrade 89, 147–150 (2010)
Popović, M.N., Nešić, M.V., Cirić-Kostić, S., Živanov, M., Markushev, D.D., Rabasović, M.D., Galović, S.P.: Helmholtz resonances in photoacoustic experiment with laser-sintered polyamide including thermal memory of samples. Int. J. Thermophys. 37, 116 (2016). https://doi.org/10.1007/s10765-016-2124-3
Rabasović, M.D., Nikolić, M.G., Dramićanin, M.D., Franko, M., Markushev, D.D.: Low-cost, portable photoacoustic setup for solid state. Meas. Sci. Technol. 20(9), 095902 (2009). https://doi.org/10.1088/0957-0233/20/9/095902
Todorović, D.M., Nikolić, P.M., Dramićanin, M.D., Vasiljević, D.G., Ristovski, Z.D.: Photoacoustic frequency heat-transmission technique: thermal and carrier transport parameters measurements in silicon. J. Appl. Phys. 78(9), 5750 (1995). https://doi.org/10.1063/1.359637
Todorović, D.M., Nikolić, P.M.: Semiconductors and Electronic Materials Progress in Photothermal and Photoacoustic Science and Technology Chap. 9, pp. 273–318. Optical Engineering Press, New York (2000)
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This work was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia under the Projects Nos. ON171016 and III45005.
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Djordjevic, К.L., Galovic, S.P., Jordovic-Pavlovic, M.I. et al. Photoacoustic optical semiconductor characterization based on machine learning and reverse-back procedure. Opt Quant Electron 52, 247 (2020). https://doi.org/10.1007/s11082-020-02373-x
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DOI: https://doi.org/10.1007/s11082-020-02373-x