An Iterative Correction of Wavefunction Using a Residual Vector for Efficient Calculations of Ab Initio Energy

ABSTRACT This work presents an improved version of the residual vector correction (RVC) algorithm, designed to address the eigenproblem involved in electronic structure calculations. Instead of directly diagonalizing the entire Hamiltonian matrix, the proposed algorithm iteratively diagonalizes a 2 × 2 submatrix, focusing only on the relevant molecular orbitals. Molecular orbital energies are iteratively minimized along a residual vector, with the step size determined by diagonalizing the 2 × 2 submatrix. To obtain the subsequent eigenvalues, we employ Hotelling deflation, which constructs the necessary auxiliary Fock matrix. Since the size of the diagonalized matrix does not increase with the molecular system, this algorithm eliminates the cubic scaling dependence of computational efficiency on molecule size seen in direct diagonalization. Compared to the earlier version, the implementation within the Hartree–Fock framework shows that the current version is significantly more practical for the calculation of considerably large molecules. As demonstrated, the RVC method consistently surpasses existing iterative approaches in efficiency while maintaining high accuracy.

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Publication Details

Journal
International Journal of Quantum Chemistry
Published
2025-11-02
DOI
https://doi.org/10.1002/qua.70118
Primary Topic
Advanced Chemical Physics Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

An Iterative Correction of Wavefunction Using a Residual Vector for Efficient Calculations of Ab Initio Energy

Fang He, Yonglong Ding, Yanoar Pribadi Sarwono, Muhammad Yusrul Hanna et al.
International Journal of Quantum Chemistry
Advanced Chemical Physics Studies
article

An Iterative Correction of Wavefunction Using a Residual Vector for Efficient Calculations of Ab Initio Energy

Fang He, Yonglong Ding, Yanoar Pribadi Sarwono, Muhammad Yusrul Hanna, Lin‐Ping Hu, Ruiqin Q. Zhang
article en

Abstract

ABSTRACT This work presents an improved version of the residual vector correction (RVC) algorithm, designed to address the eigenproblem involved in electronic structure calculations. Instead of directly diagonalizing the entire Hamiltonian matrix, the proposed algorithm iteratively diagonalizes a 2 × 2 submatrix, focusing only on the relevant molecular orbitals. Molecular orbital energies are iteratively minimized along a residual vector, with the step size determined by diagonalizing the 2 × 2 submatrix. To obtain the subsequent eigenvalues, we employ Hotelling deflation, which constructs the necessary auxiliary Fock matrix. Since the size of the diagonalized matrix does not increase with the molecular system, this algorithm eliminates the cubic scaling dependence of computational efficiency on molecule size seen in direct diagonalization. Compared to the earlier version, the implementation within the Hartree–Fock framework shows that the current version is significantly more practical for the calculation of considerably large molecules. As demonstrated, the RVC method consistently surpasses existing iterative approaches in efficiency while maintaining high accuracy.

International Journal of Quantum ChemistryVol. 125(21)
City University of Hong Kong (HK), Shenzhen Polytechnic University (CN), Beijing Computational Science Research Center (CN), National Nuclear Energy Agency of Indonesia (ID), National Research and Innovation Agency (ID)
City University of Hong Kong, National Natural Science Foundation of China, China Academy of Engineering Physics, National Safety Academic Fund
Openalex Percentile: Top 74%
Advanced Chemical Physics Studies
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