Towards chemical accuracy using a multi-mesh adaptive finite element method in all-electron density functional theory

被引:2
作者
Kuang, Yang [1 ,2 ]
Shen, Yedan [1 ,2 ,3 ]
Hu, Guanghui [4 ,5 ]
机构
[1] Guangdong Univ Technol, Sch Math & Stat, Guangzhou, Peoples R China
[2] Guangdong Univ Technol, Ctr Math & Interdisciplinary Sci CMIS, Guangzhou, Peoples R China
[3] Xiangtan Univ, Hunan Key Lab Computat & Simulat Sci & Engn, Xiangtan, Peoples R China
[4] Univ Macau, State Key Lab Internet Things Smart City, Zhuhai, Macao, Peoples R China
[5] Zhuhai UM Sci & Technol, Res Inst, Zhuhai, Peoples R China
基金
中国国家自然科学基金;
关键词
Chemical accuracy; Kohn-Sham equation; Adaptive finite element method; Multi-mesh method; LIBRARY; SOLVER;
D O I
10.1016/j.jcp.2024.113312
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Chemical accuracy serves as an important metric for assessing the effectiveness of the numerical method in Kohn-Sham density functional theory. It is found that to achieve chemical accuracy, not only the Kohn-Sham wavefunctions but also the Hartree potential, should be approximated accurately. Under the adaptive finite element framework, this can be implemented by constructing the a posteriori error indicator based on approximations of the aforementioned two quantities. However, this way results in a large amount of computational cost. To reduce the computational cost, we propose a novel solver for the Kohn-Sham equation by using the multi-mesh adaptive technique, in which the Kohn-Sham equation and the Poisson equation are solved in two different meshes on the same computational domain, respectively. With the proposed method, chemical accuracy can be achieved with less computational consumption compared with the adaptive method on a single mesh, as demonstrated in a number of numerical experiments.
引用
收藏
页数:17
相关论文
共 38 条
  • [1] ELECTRONIC-STRUCTURE CALCULATIONS ON WORKSTATION COMPUTERS - THE PROGRAM SYSTEM TURBOMOLE
    AHLRICHS, R
    BAR, M
    HASER, M
    HORN, H
    KOLMEL, C
    [J]. CHEMICAL PHYSICS LETTERS, 1989, 162 (03) : 165 - 169
  • [2] Towards Translational Invariance of Total Energy with Finite Element Methods for Kohn-Sham Equation
    Bao, Gang
    Hu, Guanghui
    Liu, Di
    [J]. COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2016, 19 (01) : 1 - 23
  • [3] Real-time adaptive finite element solution of time-dependent Kohn-Sham equation
    Bao, Gang
    Hu, Guanghui
    Liu, Di
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2015, 281 : 743 - 758
  • [4] An h-adaptive finite element solver for the calculations of the electronic structures
    Bao, Gang
    Hu, Guanghui
    Liu, Di
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2012, 231 (14) : 4967 - 4979
  • [5] Computational method for general multicenter electronic structure calculations
    Batcho, PF
    [J]. PHYSICAL REVIEW E, 2000, 61 (06): : 7169 - 7183
  • [6] Quantum chemical accuracy from density functional approximations via machine learning
    Bogojeski, Mihail
    Vogt-Maranto, Leslie
    Tuckerman, Mark E.
    Mueller, Klaus-Robert
    Burke, Kieron
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)
  • [7] AFEPack: A General-Purpose C plus plus Library for Numerical Solutions of Partial Differential Equations
    Cai, Zhenning
    Chen, Yun
    Di, Yana
    Hu, Guanghui
    Li, Ruo
    Liu, Wenbin
    Wang, Heyu
    Yang, Fanyi
    Yao, Chengbao
    Zhan, Hongfei
    [J]. COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2024, 36 (01) : 274 - 318
  • [8] ADAPTIVE FINITE ELEMENT APPROXIMATIONS FOR KOHN-SHAM MODELS
    Chen, Huajie
    Dai, Xiaoying
    Gong, Xingao
    He, Lianhua
    Zhou, Aihui
    [J]. MULTISCALE MODELING & SIMULATION, 2014, 12 (04) : 1828 - 1869
  • [9] Locally Refined Multigrid Solution of the All-Electron Kohn-Sham Equation
    Cohen, Or
    Kronik, Leeor
    Brandt, Achi
    [J]. JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2013, 9 (11) : 4744 - 4760
  • [10] Convergent and Orthogonality Preserving Schemes for Approximating the Kohn-Sham Orbitals
    Dai, Xiaoying
    Zhang, Liwei
    Zhou, Aihui
    [J]. NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2023, 16 (01): : 1 - 25