Machine learning as a tool to accelerate the search for new materials for metal-ion batteries

DOI10.1134/S1064562423701612OpenAlexW4393142221MaRDI QIDQ6124411

V. T. Osipov, Ye. A. Morkhova, A. P. Corresponding Member of the RAS Nemudryi, Alexey A. Kabanov, M. I. Gongola

Publication date: 27 March 2024

Published in: Doklady Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1064562423701612

zbMATH Keywords

machine learningVoronoi partitionionic conductorsDFT calculationsmigration energyToposPro

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Artificial intelligence (68Txx) Applications of statistics (62Pxx)

Cites Work

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• Cross-validation for selecting a model selection procedure

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