Linear scaling Krylov subspace method for large scale {\it ab initio} electronic structure calculations of metals
Taisuke Ozaki

TL;DR
This paper introduces a linear scaling Krylov subspace method enabling efficient large-scale ab initio electronic structure calculations for metals, overcoming traditional computational limitations.
Contribution
The method effectively handles both short-range and long-range electronic contributions using a Krylov subspace, improving convergence for metals and insulators.
Findings
Successfully applied to a palladium cluster with iron impurity
Achieved rapid convergence for metallic systems
Demonstrated scalability to large systems
Abstract
An efficient and robust linear scaling method is presented for large scale {\it ab initio} electronic structure calculations of a wide variety of materials including metals. The detailed short range and the effective long range contributions to the electronic structure are taken into account by solving an embedded cluster defined in a Krylov subspace, which provides rapid convergence for not only insulators but also metals. As an illustration of the method, we present a large scale calculation based on density functional theory for a palladium cluster with a single iron impurity.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
