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Machine Learning As a Tool to Accelerate the Search for New Materials for Metal-Ion Batteries

Research output: Contribution to journal › Article › peer-review

Department of Natural Sciences

DOI

https://doi.org/10.1134/S1064562423701612
Final published version

V. T. Osipov
M. I. Gongola
Ye A. Morkhova
A. P. Nemudryi
A. A. Kabanov

Original language	English
Pages (from-to)	S476-S483
Number of pages	8
Journal	Doklady Mathematics
Volume	108
Issue number	Suppl 2
DOIs	https://doi.org/10.1134/S1064562423701612
Publication status	Published - Dec 2023

Research areas

DFT calculations, ToposPro, Voronoi partition, ionic conductors, machine learning, migration energy

OECD FOS+WOS

1.01 MATHEMATICS

ID: 59887986