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Parametrically constrained geometry relaxations for high-throughput materials science

Authors :
Maja-Olivia Lenz
David Hicks
Stefano Curtarolo
Thomas A. R. Purcell
Matthias Scheffler
Christian Carbogno
Source :
npj Computational Materials, npj Computational Materials, Vol 5, Iss 1, Pp 1-10 (2019)

Abstract

Reducing parameter spaces via exploiting symmetries has greatly accelerated and increased the quality of electronic-structure calculations. Unfortunately, many of the traditional methods fail when the global crystal symmetry is broken, even when the distortion is only a slight perturbation (e.g., Jahn-Teller like distortions). Here we introduce a flexible and generalizable parametric relaxation scheme and implement it in the all-electron code FHI-aims. This approach utilizes parametric constraints to maintain symmetry at any level. After demonstrating the method’s ability to relax metastable structures, we highlight its adaptability and performance over a test set of 359 materials, across 13 lattice prototypes. Finally we show how these constraints can reduce the number of steps needed to relax local lattice distortions by an order of magnitude. The flexibility of these constraints enables a significant acceleration of high-throughput searches for novel materials for numerous applications.

Details

Language :
English
ISSN :
20573960
Volume :
5
Issue :
1
Database :
OpenAIRE
Journal :
npj Computational Materials
Accession number :
edsair.doi.dedup.....a03dbae5d6249ec43953128ecd9e519f
Full Text :
https://doi.org/10.1038/s41524-019-0254-4