Studying LiFePO$_4$ powder samples via X-ray diffraction techniques using artificial neural networks

M. E. Boiko, M. D. Sharkov, A. M. Boiko, A. V. Bobyl', V. I. Nikolaev

Ioffe Institute, St. Petersburg, Russia

Abstract: A set of LiFePO$_4$ samples has been studied by small-angle X-ray scattering (SAXS). Using the technique of artificial neural networks, the shape of SAXS curves has been reconstructed taking into account the hardware function. Estimates of homogeneitiessizes and shapes in the studied LiFePO$_4$ samples have been obtained.

Keywords: small-angle X-ray scattering, artificial neural network, lithium-ion rechargeable batteries, incorrect tasks regularization.

Received: 05.04.2022
Revised: 17.05.2022
Accepted: 30.05.2022

DOI: 10.21883/PJTF.2022.14.52863.19214

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