波函数
残余物
哈密顿量(控制论)
缩放比例
从头算
福克空间
迭代法
物理
工作(物理)
电子结构
分子轨道
统计物理学
算法
基质(化学分析)
能量(信号处理)
哈密尔顿矩阵
从头算量子化学方法
总能量
量子力学
分子
计算物理学
计算化学
福克矩阵
化学
组态交互作用
数学
功能(生物学)
线性比例尺
势能
应用数学
分子物理学
计算机科学
材料科学
作者
Lin‐Ping Hu,Yanoar Pribadi Sarwono,Fang He,Yonglong Ding,Muhammad Yusrul Hanna,Ruiqin Zhang
摘要
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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