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Fast Generation of Pipek-Mezey Wannier Functions via the Co-Iterative Augmented Hessian Method.

PubMed
Authors: Yang G, Ye HZ

Year

2026

Paper ID

69076

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

142

Citations

N/A

Abstract

We report a -point extension of the second-order co-iterative augmented Hessian (CIAH) algorithm, termed -CIAH, for Pipek-Mezey (PM) localization of Wannier functions (WFs). By exploiting an efficient evaluation of the Hessian-vector product, -CIAH achieves () scaling in both CPU time and memory, matching that of previously reported first-order -space approaches while improving upon the () scaling of Γ-point CIAH, where denotes the number of -points sampling the first Brillouin zone and characterizes the unit-cell size. Benchmark calculations on a diverse set of solids─including insulators, semiconductors, metals, and surfaces─demonstrate the fast and robust convergence of -CIAH-based PMWF optimization, which yields an overall computational efficiency approximately 2-3-fold higher than first-order -space methods and orders of magnitude higher than Γ-point CIAH for localizing 1000-5000 orbitals. The quality of the resulting PMWFs is further validated by accurate electronic band structures obtained via PMWF-based Wannier interpolation.

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  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
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  • We report a -point extension of the second-order co-iterative augmented Hessian (CIAH) algorithm, termed -CIAH, for Pipek-Mezey (PM) localization of Wannier functions (WFs).

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