A density-fitting implementation of the density-based basis-set correction method
Andreas He{\ss}elmann, Emmanuel Giner, Peter Reinhardt, Peter J., Knowles, Hans-Joachim Werner, Julien Toulouse

TL;DR
This paper introduces an efficient implementation of the density-based basis-set correction method using density-fitting in MOLPRO, significantly improving basis convergence for MP2 reaction energies at lower computational cost.
Contribution
It presents a density-fitting implementation of the DBBSC method, enhancing basis-set convergence in wave-function calculations with a novel approach and benchmarking against MP2-F12.
Findings
DBBSC accelerates basis convergence of MP2 energies
The method reduces computational cost compared to MP2-F12
It improves reaction energy calculations without full F12 accuracy
Abstract
This work reports an efficient density-fitting implementation of the density-based basis-set correction (DBBSC) method in the MOLPRO software. This method consists in correcting the energy calculated by a wave-function method with a given basis set by an adapted basis-set correction density functional incorporating the short-range electron correlation effects missing in the basis set, resulting in an accelerated convergence to the complete-basis-set limit. Different basis-set correction density-functional approximations are explored and the complementary-auxiliary-basis-set single-excitation correction is added. The method is tested on a benchmark set of reaction energies at the second-order M{\o}ller-Plesset (MP2) level and a comparison with the explicitly correlated MP2-F12 method is provided. The results show that the DBBSC method greatly accelerates the basis convergence of MP2…
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.
