High-throughput generation of potential energy surfaces for solid interfaces

Author(s)
Michael Wolloch, Gabriele Losi, Omar Chehaimi, Firat Yalcin, Mauro Ferrario, Maria Clelia Righi
Abstract

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-syjavascript:void(0);mmetry 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.

Organisation(s)
Computational Materials Physics
External organisation(s)
University of Bologna, Università degli Studi di Modena e Reggio Emilia
Journal
Computational Materials Science
Volume
207
No. of pages
10
ISSN
0927-0256
DOI
https://doi.org/10.1016/j.commatsci.2022.111302
Publication date
05-2022
Peer reviewed
Yes
Austrian Fields of Science 2012
103018 Materials physics
Keywords
ASJC Scopus subject areas
Mechanics of Materials, Computational Mathematics, General Physics and Astronomy, General Chemistry, General Materials Science, General Computer Science
Portal url
https://ucrisportal.univie.ac.at/en/publications/10105def-9ed0-4846-addc-5372d16b2b07