Rechargeable battery materials, Computational materials science, Electrochemical process modeling

Teaching oxidation states to neural networks

MaX researchers developed machine-learned potentials capable of tracking oxidation states in materials, enabling accurate modelling of redox processes in Li-ion cathodes and other technologically relevant