A hierarchical splines-based h-adaptive isogeometric solver for all-electron Kohn–Sham equation
In this paper, a novel h -adaptive isogeometric solver utilizing high-order hierarchical splines is proposed to solve the all-electron Kohn–Sham equation. In virtue of the smooth nature of Kohn–Sham wavefunctions across the domain, except at the nuclear positions, high-order globally regular basis functions such as B-splines are well suited for achieving high accuracy. To further handle the singularities in the external potential at the nuclear positions, an h -adaptive framework based on the hierarchical splines is presented with a specially designed residual-type error indicator, allowing for different resolutions on the domain. The generalized eigenvalue problem raising from the discretized Kohn–Sham equation is effectively solved by the locally optimal block preconditioned conjugate gradient (LOBPCG) method with an elliptic preconditioner, and it is found that the eigensolver's convergence is not sensitive to the spline basis order. A series of numerical experiments confirm the effectiveness of the h -adaptive framework, with a notable experiment that the numerical accuracy 10 − 3 Hartree / particle in the all-electron simulation of a methane molecule is achieved using only 6355 degrees of freedom, demonstrating the competitiveness of our solver for the all-electron Kohn–Sham equation.
Authors
- Yang Kuang (ORCID: https://orcid.org/0000-0003-3680-736X)
- Ran Zhang (ORCID: https://orcid.org/0000-0002-3808-281X)
- Guanghui Hu (ORCID: https://orcid.org/0000-0003-1522-1888)
- Tao Wang (ORCID: https://orcid.org/0009-0003-1825-0163)
Institutions
- Guangdong University of Technology (CN)
- Jilin University (CN)
- University of Macau (MO)
- Zhuhai Institute of Advanced Technology (CN)
- City University of Macau (MO)
Publication Details
- Journal
- Journal of Computational Physics
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1016/j.jcp.2025.114003
- Citations
- 1
- Primary Topic
- Advanced Numerical Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.33
Funders
- National Natural Science Foundation of China
- Universidade de Macau
- Fundo para o Desenvolvimento das Ciências e da Tecnologia
- Guangzhou Municipal Science and Technology Bureau
- National Key Research and Development Program of China