High-throughput generation of potential energy surfaces for solid interfaces

Michael Wolloch (Corresponding author), Gabriele Losi, Omar Chehaimi, Firat Yalcin, Mauro Ferrario, Maria Clelia Righi (Corresponding author)

Publications: Contribution to journalArticlePeer Reviewed

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.
Original languageEnglish
Article number111302
Number of pages10
JournalComputational Materials Science
Volume207
DOIs
Publication statusPublished - May 2022

Austrian Fields of Science 2012

  • 103018 Materials physics

Keywords

  • High-throughput
  • Interfaces
  • Potential energy surface
  • Density functional theory
  • Tribology
  • ELASTIC-MODULI
  • INFRASTRUCTURE
  • 1ST-PRINCIPLES
  • TEMPERATURE
  • ADHESIVE
  • FRICTION

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