The need for high-capacity Li-ion battery cathodes has favored the increase of Ni content in commercial battery cells. However, at high state of charge (SOC), Ni-rich materials undergo a phase transition and volume collapse with deleterious effects on battery performance. It is uncertain whether this drastic volume change is caused by the phase transition or not. To provide more insight into the volume-phase transition relationship in the high Ni cathodes, we performed density functional theory calculations, along with molecular dynamics simulations using machine learned potentials to calculate the temperature and composition dependent free energy differences between the suspected phases at high state of charge. We find that the calculated free energy difference between the suspected phases containing different oxygen stacking sequences is small at room temperature.  Further, we find that the collapse of the layered cathodes c-lattice parameter at high SOCs is mainly due to the electronic depletion of the oxygen sublattice and the lack of screening from positive Li ions. The interactions between adjacent oxygen ions across an empty Li layer, are largely controlled by Van de Waals interactions and are in fact similar regardless of the oxygen stacking.

Insights from computational studies on the anisotropic volume change of Ni-rich cathodes at high state of charge using a chemistry-informed machine learning model

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