upward

Machine learning

A Bhowmik, M Berecibar, M Casas-Cabanas, G Csanyi, R Dominko, K Hermansson, M Palacin, H Stein, T Vegge, Implications of the BATTERY 2030+ AI-Assisted Toolkit on Future Low-TRL Battery Discoveries and Chemistries, AEM 12, 2102698 (2021)

M Aykol, P Herring, A Anapolsky, Machine learning for continuous innovation in battery technologies, NRM 5, 725 (2020)

K Hatakeyama-Sato, K Oyaizu, Integrating multiple materials science projects in a single neural network, Comm Mater 1, 49 (2020) – tab, rev

Beta Writer, Lithium-Ion Batteries A Machine-Generated Summary of Current Research (Springer, 2019)