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Machine learning for determining the size distribution of metallic and pharmaceutical submicron particles based on scattered light extinction and indicatrices
Rovenko V. V.
1, Semenov T.A.
1, Epifanov E.O
1, Mishakov G.V.
1, Minaev N.V.
1, Garmatina A. A1, Mareev E.I.
1
1Kurchatov Complex of Crystallography and Photonics NRC "Kurchatov Institute", Moscow, Russia
Email: rovenko.vladimir@physics.msu.ru, physics.letters@yandex.ru, vivendorigin@yandex.ru, minaevn@xmail.ru, alga009@mail.ru, mareev.evgeniy@physics.msu.ru
A method for determining the size distribution of submicron particles (from 1 to 4000 nm) is proposed, based on training a convolutional neural network using scattered light indicatrices and extinctions. The training was carried out on optical response matrices synthesized within the Mie theory for metallic (gold) and pharmacological (ibuprofen) particles, taking into account their complex refractive indices. The proposed neural network model allows for reconstructing the parameters of the lognormal particle size distribution in less than 1 s on a graphics processor, providing an average discrepancy with scanning electron microscopy data at the level of 30 %, which is comparable to the accuracy of manual analysis with a significant reduction in time costs. Keywords: Mie theory, submicron particles, light scattering, extinction, scattering indicatrix, machine learning.
- A.J. Hickey, C.-C. Huang, A. Misra, V. Balasubramanian, B.M. Moudgil, A.D. Rosato, L.M. Tavares, Q. Zhang, W.-N. Wang, KONA Powder Part. J., 42, 2026016 (2025). DOI: 10.14356/kona.2026016
- S. Chakraborty, S. Mal, A. Halder, S. Das, K.K. Sen, A. Mukherjee, P. Roy, Part. Sci. Technol., 42 (1), 145 (2024). DOI: 10.1080/02726351.2023.2211954
- S. Jacob, F.S. Kather, S.H. Boddu, M. Attimarad, A.B. Nair, Pharmaceutics, 17 (1), 136 (2025). DOI: 10.3390/pharmaceutics17010136
- T. Klinavicius, N. Khinevich, A. Tamuleviciene, L. Vidal, S. Tamulevicius, T. Tamulevicius, J. Phys. Chem. C, 128 (23), 9662 (2024). DOI: 10.1021/acs.jpcc.4c02459
- A. Otsuki, H. Jang, ChemEng., 6 (6), 92 (2022). DOI: 10.3390/chemengineering6060092
- Y. Ren, J. Mao, H. Zhao, C. Zhou, X. Gong, Z. Rao, Q. Wang, Y. Zhang, Adv. Meteorol., 2020, 5074192 (2020). DOI: 10.1155/2020/5074192
- M.A. Habitzreuter, M.C Barbosa, Phys. Rev. E, 107 (3), 034601 (2023). DOI: 10.1103/PhysRevE.107.034601
- J. Li, Z. Zhang, Y. Xu, S. Fu, J. Yang, Y. Wang, A.S. Shalin, Y. Qin, Phys. Rev. Appl., 23 (1), 014001 (2025). DOI: 10.1103/PhysRevApplied.23.014001
- E.O. Epifanov, N.M. Asharchuk, D.N. Hmelenin, I.V. Trofimov, A.O. Rybaltovskij, G.V. Mishakov, T.A. Semenov, N.V. Minaev, E.I. Mareev, Russ. J. Phys. Chem. B, 18 (8), 1948 (2024). DOI: 10.1134/S1990793124030047
- P.B. Johnson, R.W. Christy, Phys. Rev. B, 6 (12), 4370 (1972). DOI: 10.1103/PhysRevB.6.4370
- L.B. Scaffardi, J.O. Tocho, Nanotechnology, 17, 1309 (2006). DOI: 10.1088/0957-4484/17/5/024
- C.F. Bohren, D.R. Huffman, Absorption and scattering of light by small particle (Wiley-VCH, 1983), p. 102, 103
- H. Bagheri, H. Hashemipour, V. Ghalandari, S. Ghader, Particuology, 57, 201 (2021). DOI: 10.1016/j.partic.2020.12.011
- S.S.A. Zaidi, M.S. Ansari, A. Aslam, N. Kanwal, M. Asghar, B. Lee, Comput. Biol. Med., 126, 103514 (2022). DOI: 10.48550/arXiv.2104.11892
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