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A PROXIMAL GRADIENT METHOD FOR ENSEMBLE DENSITY FUNCTIONAL THEORY

delete2015-01-01
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M
Michael Ulbrich *
文
文再文 (Zaiwen Wen)
C
Chao Yang
D
Dennis Klöckner
Z
Zhaosong Lu
DOI:10.1137/14098973Xdelete
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摘要

摘要

En 中文
The ensemble density functional theory (E-DFT) is valuable for simulations of metallic systems due to the absence of a gap in the spectrum of the Hamiltonian matrices. Although the widely used self-consistent field (SCF) iteration method can be extended to solve the minimization of the total energy functional with respect to orthogonality constraints, there is no theoretical guarantee on the convergence of these algorithms. In this paper, we consider an equivalent model with a single variable and a single spherical constraint by eliminating the dependence on the fractional occupancies. A proximal gradient method is developed by keeping the entropy term but linearizing all other terms in the total energy functional. Convergence to the stationary point is established. Numerical results using the MATLAB toolbox KSSOLV can outperform SCF consistently on many metallic systems.
Keyword:
ensemble density functional theory
Kohn-Sham total energy minimization
orthogonality/spherical constraints
proximal gradient method
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SIAM Journal on Scientific Computing 封面图
SIAM Journal on Scientific Computing
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