Residential College | false |
Status | 已發表Published |
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 Publication | Advances in Applied Mathematics and Mechanics |
ISSN | 2070-0733 |
Volume | 15Issue: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. |
Keyword | Density Functional Theory Gradient Flow Orthonormalization Free Scalar Auxiliary Variable Unconditional Energy Stability |
DOI | 10.4208/aamm.OA-2021-0363 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Mathematics ; Mechanics |
WOS Subject | Mathematics, Applied ; Mechanics |
WOS ID | WOS:000944153900001 |
Scopus ID | 2-s2.0-85152745062 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF MATHEMATICS |
Corresponding Author | Hu, Guanghui |
Affiliation | 1.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 Affilication | Faculty of Science and Technology |
Corresponding Author Affilication | Faculty 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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