Curing basis-set convergence of wave-function theory using density-functional theory: a systematically improvable approach
Emmanuel Giner (LCT), Barth\'el\'emy Pradines (LCT, ISCD), Anthony, Fert\'e (LCT), Roland Assaraf (LCT), Andreas Savin (LCT), Julien Toulouse, (LCT)

TL;DR
This paper introduces a DFT-based correction method to systematically improve the basis-set convergence in wave-function theory calculations, enabling near-complete basis set accuracy with smaller basis sets.
Contribution
It develops a novel, adaptive range-separation approach that corrects basis-set errors in WFT using a DFT functional, with practical approximations and numerical validation.
Findings
Significant reduction in basis-set errors for total energies and ionization potentials.
Achieves near-FCI accuracy with smaller basis sets like aug-cc-pVTZ.
Demonstrates the method's effectiveness across atomic systems.
Abstract
The present work proposes to use density-functional theory (DFT) to correct for the basis-set error of wave-function theory (WFT). One of the key ideas developed here is to define a range-separation parameter which automatically adapts to a given basis set. The derivation of the exact equations are based on the Levy-Lieb formulation of DFT, which helps us to define a complementary functional which corrects uniquely for the basis-set error of WFT. The coupling of DFT and WFT is done through the definition of a real-space representation of the electron-electron Coulomb operator projected in a one-particle basis set. Such an effective interaction has the particularity to coincide with the exact electron-electron interaction in the limit of a complete basis set, and to be finite at the electron-electron coalescence point when the basis set is incomplete. The non-diverging character of the…
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.
