Direct Energy Minimization Based on Exponential Transformation in Density Functional Calculations of Finite and Extended Systems
Aleksei V. Ivanov, Elvar \"O. J\'onsson, Tejs Vegge, Hannes J\'onsson

TL;DR
This paper introduces an exponential transformation-based direct energy minimization method for density functional calculations, which preserves orbital orthonormality and outperforms traditional self-consistent field approaches in efficiency and convergence.
Contribution
The paper presents a novel exponential transformation approach for direct energy minimization in density functional theory, applicable to finite and extended systems, with improved convergence and computational efficiency.
Findings
Outperforms standard SCF in convergence and efficiency
Applicable to systems with fractional orbital occupations
Effective for molecules, liquid water, and crystals
Abstract
The energy minimization involved in density functional calculations of electronic systems can be carried out using an exponential transformation that preserves the orthonormality of the orbitals. The energy of the system is then represented as a function of the elements of a skew-Hermitian matrix that can be optimized directly using unconstrained minimization methods. An implementation based on the limited memory Broyden-Fletcher-Goldfarb-Shanno approach with inexact line search and a preconditioner is presented and the performance compared with that of the commonly used self-consistent field approach. Results are presented for the G2 set of 148 molecules, liquid water configurations with up to 576 molecules and some insulating crystals. A general preconditioner is presented that is applicable to systems with fractional orbital occupation as is, for example, needed in the k-point…
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.
