Lanczos重采样
GW近似
物理
厄米矩阵
Lanczos算法
量子
计算物理学
统计物理学
量子力学
特征向量
准粒子
超导电性
作者
Weiwei Gao,Zhao Tang,Jijun Zhao,James R. Chelikowsky
标识
DOI:10.1103/physrevlett.132.126402
摘要
The GW approximation is widely used for reliable and accurate modeling of single-particle excitations. It also serves as a starting point for many theoretical methods, such as its use in the Bethe-Salpeter equation (BSE) and dynamical mean-field theory. However, full-frequency GW calculations for large systems with hundreds of atoms remain computationally challenging, even after years of efforts to reduce the prefactor and improve scaling. We propose a method that reformulates the correlation part of the GW self-energy as a resolvent of a Hermitian matrix, which can be efficiently and accurately computed using the standard Lanczos method. This method enables full-frequency GW calculations of material systems with a few hundred atoms on a single computing workstation. We further demonstrate the efficiency of the method by calculating the defect-state energies of silicon quantum dots with diameters up to 4 nm and nearly 2,000 silicon atoms using only 20 computational nodes.
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