Local Potential Functional Embedding Theory: A Self-Consistent Flavor of Density Functional Theory for Lattices without Density Functionals
Sajanthan Sekaran, Matthieu Sauban\`ere, Emmanuel Fromager

TL;DR
This paper introduces a local potential functional embedding theory (LPFET) based on density-functional theory for lattice systems, improving upon previous methods in certain regimes but still facing challenges in describing the Mott-Hubbard transition.
Contribution
The paper derives a density-functional version of Ht-DMFET, formulates LPFET, and demonstrates its performance and limitations in modeling electron correlation and gap opening in lattice systems.
Findings
LPFET outperforms Ht-DMFET in low-density, strongly correlated regimes.
Both methods fail to describe the Mott-Hubbard transition.
A single impurity can describe gap opening if the correlation potential exhibits a derivative discontinuity.
Abstract
The recently proposed Householder transformed density-matrix functional embedding theory (Ht-DMFET) [Sekaran et al., Phys. Rev. B 104, 035121 (2021)], which is equivalent to (but formally simpler than) density matrix embedding theory (DMET) in the non-interacting case, is revisited from the perspective of density-functional theory (DFT). An in-principle-exact density-functional version of Ht-DMFET is derived for the one-dimensional Hubbard lattice with a single embedded impurity. On the basis of well-identified density-functional approximations, a local potential functional embedding theory (LPFET) is formulated and implemented. Even though LPFET performs better than Ht-DMFET in the low-density regime, in particular when electron correlation is strong, both methods are unable to describe the density-driven Mott-Hubbard transition, as expected. These results combined with our formally…
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.
