Neural network potentials for kaolinite minerals have been fitted to data extracted from density functional theory calculation that were performed using the revPBE + D3 and revPBE + vdW functionals. These potentials have then been used to calculate static and dynamic properties of the mineral. We show that revPBE + vdW is better at reproducing the static properties. However, revPBE + D3 does a better job of reproducing the experimental IR spectrum. We also consider what happens to these properties when a fully-quantum treatment of the nuclei is employed. We find that nuclear quantum effects (NQEs) do not make a substantial difference to the static properties. However, when NQEs are included the dynamic properties of the material change substantially.
Cite
@article{arxiv.2301.04505,
title = {A Fully Quantum-Mechanical Treatment for Kaolinite},
author = {Sam Shepherd and Gareth A. Tribello and David M. Wilkins},
journal= {arXiv preprint arXiv:2301.04505},
year = {2023}
}