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An SAV Method for Imaginary Time Gradient Flow Model in Density Functional Theory
Wang, Ting1; Zhou, Jie2; Hu, Guanghui1,3,4
2023-06-01
Source PublicationAdvances in Applied Mathematics and Mechanics
ISSN2070-0733
Volume15Issue:3Pages:719-736
Abstract

In this paper, based on the imaginary time gradient flow model in the density functional theory, a scalar auxiliary variable (SAV) method is developed for the ground state calculation of a given electronic structure system. To handle the orthonormality constraint on those wave functions, two kinds of penalty terms are introduced in designing the modified energy functional in SAV, i.e., one for the norm preserving of each wave function, another for the orthogonality between each pair of different wave functions. A numerical method consisting of a designed scheme and a linear finite element method is used for the discretization. Theoretically, the desired unconditional decay of modified energy can be obtained from our method, while computationally, both the original energy and modified energy decay behaviors can be observed successfully from a number of numerical experiments. More importantly, numerical results show that the orthonormality among those wave functions can be automatically preserved, without explicitly preserving orthogonalization operations. This implies the potential of our method in large-scale simulations in density functional theory.

KeywordDensity Functional Theory Gradient Flow Orthonormalization Free Scalar Auxiliary Variable Unconditional Energy Stability
DOI10.4208/aamm.OA-2021-0363
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaMathematics ; Mechanics
WOS SubjectMathematics, Applied ; Mechanics
WOS IDWOS:000944153900001
Scopus ID2-s2.0-85152745062
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Document TypeJournal article
CollectionDEPARTMENT OF MATHEMATICS
Corresponding AuthorHu, Guanghui
Affiliation1.Department of Mathematics, Faculty of Science and Technology, University of Macau, Macao
2.School of Mathematics and Computational Science, Xiangtan University, Xiangtan, Hunan, 411105, China
3.Zhuhai UM Science and Technology Research Institute, Zhuhai, Guangdong, 519030, China
4.Guangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications, University of Macau, Macao
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology;  University of Macau
Recommended Citation
GB/T 7714
Wang, Ting,Zhou, Jie,Hu, Guanghui. An SAV Method for Imaginary Time Gradient Flow Model in Density Functional Theory[J]. Advances in Applied Mathematics and Mechanics, 2023, 15(3), 719-736.
APA Wang, Ting., Zhou, Jie., & Hu, Guanghui (2023). An SAV Method for Imaginary Time Gradient Flow Model in Density Functional Theory. Advances in Applied Mathematics and Mechanics, 15(3), 719-736.
MLA Wang, Ting,et al."An SAV Method for Imaginary Time Gradient Flow Model in Density Functional Theory".Advances in Applied Mathematics and Mechanics 15.3(2023):719-736.
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