PEXSI-$\Sigma$: A Green's function embedding method for Kohn-Sham density functional theory
Xiantao Li, Lin Lin, Jianfeng Lu

TL;DR
The paper introduces PEXSI-$ Sigma$, a new Green's function embedding method for Kohn-Sham DFT that achieves near-linear scaling and accurately models complex systems with boundary self-energy matrices.
Contribution
It presents a novel Green's function embedding approach, PEXSI-$ Sigma$, that efficiently approximates the density matrix with boundary self-energy matrices, enabling scalable KSDFT calculations.
Findings
Accurately models graphene defects using PEXSI-$ Sigma$
Achieves $\\mathcal{O}(N^2)$ computational complexity
Demonstrates compatibility with atomistic Green's function methods
Abstract
In this paper, we propose a new Green's function embedding method called PEXSI- for describing complex systems within the Kohn-Sham density functional theory (KSDFT) framework, after revisiting the physics literature of Green's function embedding methods from a numerical linear algebra perspective. The PEXSI- method approximates the density matrix using a set of nearly optimally chosen Green's functions evaluated at complex frequencies. For each Green's function, the complex boundary conditions are described by a self energy matrix constructed from a physical reference Green's function, which can be computed relatively easily. In the linear regime, such treatment of the boundary condition can be numerically exact. The support of the matrix is restricted to degrees of freedom near the boundary of computational domain, and can be interpreted as a…
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Taxonomy
TopicsGraphene research and applications · Advanced Chemical Physics Studies · Chemical and Physical Properties of Materials
