High-throughput computation of electric polarization in solids via Berry flux diagonalization
Abigail N. Poteshman, Francesco Ricci, Jeffrey B. Neaton

TL;DR
This paper demonstrates that Berry flux diagonalization is a robust, efficient, and automated method for calculating electric polarization in solids, outperforming traditional interpolation methods especially in high-throughput screening scenarios.
Contribution
The authors introduce and validate heuristics for Berry flux diagonalization, enabling reliable, automated polarization calculations across diverse materials with fewer interpolations.
Findings
Successfully applied to 176 ferroelectric materials
Outperforms interpolation-based methods in challenging cases
Enables high-throughput screening of polar insulators
Abstract
Electric polarization in the absence of an externally applied electric field is a key property of polar materials, but the standard interpolation-based ab initio approach to compute polarization differences within the modern theory of polarization presents challenges for automated high-throughput calculations. Berry flux diagonalization [J. Bonini et. al, Phys. Rev. B 102, 045141 (2020)] has been proposed as an efficient and reliable alternative, though it has yet to be widely deployed. Here, we assess Berry flux diagonalization using ab initio calculations of a large set of materials, introducing and validating heuristics that ensure branch alignment with a minimal number of intermediate interpolated structures. Our automated implementation of Berry flux diagonalization succeeds in cases where prior interpolation-based workflows fail due to band-gap closures or branch ambiguities.…
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Taxonomy
Topics2D Materials and Applications · Ferroelectric and Piezoelectric Materials · Machine Learning in Materials Science
