High-throughput generation of potential energy surfaces for solid interfaces

M Wolloch and G Losi and O Chehaimi and F Yalcin and M Ferrario and MC Righi, COMPUTATIONAL MATERIALS SCIENCE, 207, 111302 (2022).

DOI: 10.1016/j.commatsci.2022.111302

A robust, modular, and ab initio high-throughput workflow is presented to automatically match and char-acterize solid-solid interfaces using density functional theory calculations with automatic error corrections. The potential energy surface of the interface is computed in a highly efficient manner, exploiting the high-symmetry points of the two mated surfaces. A database is automatically populated with results to ensure that already available data are not unnecessarily recomputed. Computational parameters and slab thicknesses are converged automatically to minimize computational cost while ensuring accurate results. The surfaces are matched according to user-specified maximal cross-section area and mismatches. Example results are presented as a proof of concept and to show the capabilities of our approach that will serve as the basis for many more interface studies.

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