Neural network potentials for kaolinite minerals have been fitted to data extracted from density functional theory calculations that were performed using the revPBE + D3 and revPBE + vdW functionals. These potentials have then been used to calculate the 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.
CITATION STYLE
Shepherd, S., Tribello, G. A., & Wilkins, D. M. (2023). A fully quantum-mechanical treatment for kaolinite. Journal of Chemical Physics, 158(20). https://doi.org/10.1063/5.0152361
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