Band-resolved automatic differentiation method for first-principles quantum response calculations

The accurate calculation of Bloch state derivatives is numerically challenging yet indispensable for evaluating the quantum response functions, such as how materials interact with light. Here, the authors develop a band-resolved automatic differentiation approach for efficiently calculating quantum response properties, eliminating the need for manual analytical derivations and time-consuming full-band summation. This work incorporates the quantum response calculation into a broader paradigm of differentiable programming, unlocking new pathways for data-driven exploration and design of advanced quantum materials.

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Publication Details

Journal
Physical review. B./Physical review. B
Published
2025-10-08
DOI
https://doi.org/10.1103/g8xl-mlpr
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
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article

Band-resolved automatic differentiation method for first-principles quantum response calculations

Yong Xu, Wenhui Duan, Minghui Sun, Nianlong Zou et al.
Physical review. B./Physical review. B
Machine Learning in Materials Science
article

Band-resolved automatic differentiation method for first-principles quantum response calculations

Yong Xu, Wenhui Duan, Minghui Sun, Nianlong Zou, Chong Wang, Yang Li
article en

Abstract

The accurate calculation of Bloch state derivatives is numerically challenging yet indispensable for evaluating the quantum response functions, such as how materials interact with light. Here, the authors develop a band-resolved automatic differentiation approach for efficiently calculating quantum response properties, eliminating the need for manual analytical derivations and time-consuming full-band summation. This work incorporates the quantum response calculation into a broader paradigm of differentiable programming, unlocking new pathways for data-driven exploration and design of advanced quantum materials.

Physical review. B./Physical review. BVol. 112(16)
RIKEN Center for Emergent Matter Science (JP), Beijing Academy of Quantum Information Sciences (CN), Tsinghua University (CN)
Openalex Percentile: Top 75%
Machine Learning in Materials Science
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Band-resolved automatic differentiation method for first-principles quantum response calculations — Yong Xu, Wenhui Duan, et al. · Physical review. B./Physical review. B (2025) | TGRS Research Map | TGRS