Toward Accurate Adsorption Energetics on Clay Surfaces
Andrea Zen, Lo\"ic M Roch, Stephen J Cox, Xiao L Hu, Sandro Sorella,, Dario Alf\`e, Angelos Michaelides

TL;DR
This study uses quantum Monte Carlo to accurately evaluate water and methanol adsorption on clay surfaces, highlighting the importance of van der Waals forces and benchmarking the performance of various density functional theory methods.
Contribution
First application of quantum Monte Carlo to adsorption on natural clay surfaces, providing benchmark data for evaluating DFT methods and emphasizing the role of van der Waals interactions.
Findings
QMC provides reliable adsorption energies for clay surfaces.
van der Waals forces significantly influence adsorption energetics.
DFT functionals vary widely in accuracy for these systems.
Abstract
Clay minerals are ubiquitous in nature, and the manner in which they interact with their surroundings has important industrial and environmental implications. Consequently, a molecular-level understanding of the adsorption of molecules on clay surfaces is crucial. In this regard computer simulations play an important role, yet the accuracy of widely used empirical force fields (FF) and density functional theory (DFT) exchange-correlation functionals is often unclear in adsorption systems dominated by weak interactions. Herein we present results from quantum Monte Carlo (QMC) for water and methanol adsorption on the prototypical clay kaolinite. To the best of our knowledge, this is the first time QMC has been used to investigate adsorption at a complex, natural surface such as a clay. As well as being valuable in their own right, the QMC benchmarks obtained provide reference data against…
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