A General and Transferable Local Hybrid Functional for Electronic Structure Theory and Many-Fermion Approaches
Christof Holzer, Yannick J. Franzke

TL;DR
This paper introduces a new local hybrid density functional that is highly transferable and performs well across a wide range of electronic structure applications, from molecules to solids, with broad applicability to various fermions.
Contribution
A novel, first-principles constructed local hybrid functional that achieves constraint satisfaction with full exact exchange and demonstrates broad transferability and accuracy.
Findings
Excellent performance across thermochemical and spectroscopic tests
Numerically robust with small grid requirements
Generalizable to arbitrary fermions like protons
Abstract
Density functional theory has become the workhorse of quantum physics, chemistry, and materials science. Within these fields, a broad range of applications needs to be covered. These applications range from solids to molecular systems, from organic to inorganic chemistry, or even from electrons to other fermions such as protons or muons. This is emphasized by the plethora of density functional approximations that have been developed for various cases. In this work, a new local hybrid exchange-correlation density functional is constructed from first principles, promoting generality and transferability. We show that constraint satisfaction can be achieved even for admixtures with full exact exchange, without sacrificing accuracy. The performance of the new functional for electronic structure theory is assessed for thermochemical properties, excitation energies, M\"ossbauer isomer shifts,…
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.
Taxonomy
TopicsAdvanced Optimization Algorithms Research · Advanced Control Systems Optimization · Numerical methods for differential equations
