Multilevel correction adaptive finite element method for Hartree–Fock equation

This paper presents an efficient Hartree-Fock solver that combines multilevel correction with adaptive refinement for enhanced computational efficiency, integrating an optimized framework for streamlined implementation. This framework solves linearized boundary value problems and refines their solutions via small-scale Hartree-Fock equations in low-dimensional correction spaces. The correction space comprises a coarse space and the solution to the linearized boundary value problem, enabling high accuracy while preserving low-dimensional characteristics. The approach avoids direct handling of large-scale nonlinear eigenvalue systems and dense matrix operations. Furthermore, optimization techniques based on precomputations within the correction space render the total computational workload nearly independent of the number of self-consistent field iterations. This approach significantly accelerates the solution process of the Hartree-Fock equation, effectively mitigating the traditional quadratic scaling demands on computational resources while maintaining precision.

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Publication Details

Journal
The Journal of Chemical Physics
Published
2026-02-19
DOI
https://doi.org/10.1063/5.0310981
Primary Topic
Matrix Theory and Algorithms
Type
article
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article

Multilevel correction adaptive finite element method for Hartree–Fock equation

Yong Li, Lu Liang, Fei Xu
The Journal of Chemical Physics
Matrix Theory and Algorithms
article

Multilevel correction adaptive finite element method for Hartree–Fock equation

Yong Li, Lu Liang, Fei Xu
article en

Abstract

This paper presents an efficient Hartree-Fock solver that combines multilevel correction with adaptive refinement for enhanced computational efficiency, integrating an optimized framework for streamlined implementation. This framework solves linearized boundary value problems and refines their solutions via small-scale Hartree-Fock equations in low-dimensional correction spaces. The correction space comprises a coarse space and the solution to the linearized boundary value problem, enabling high accuracy while preserving low-dimensional characteristics. The approach avoids direct handling of large-scale nonlinear eigenvalue systems and dense matrix operations. Furthermore, optimization techniques based on precomputations within the correction space render the total computational workload nearly independent of the number of self-consistent field iterations. This approach significantly accelerates the solution process of the Hartree-Fock equation, effectively mitigating the traditional quadratic scaling demands on computational resources while maintaining precision.

The Journal of Chemical PhysicsVol. 164(7)
Beijing University of Technology (CN), Beijing Information Science & Technology University (CN), University of Science and Technology Beijing (CN)
Openalex Percentile: Top 48%
Matrix Theory and Algorithms
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