An accurate machine learning calculator for the lithium-graphite system

Published in Journal of Physics: Energy, 2021

We developed a DFT-based machine learning potential of the Lithium Graphite system using the Behler–Parrinello Neural Network and Bayesian hyperparameter optimization. The potential can accurately predict the stacking, lattice constants and open circuit voltage over the charge cycle.

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