Deterministic construction of nodal surfaces within quantum Monte Carlo: the case of FeS
Anthony Scemama, Yann Garniron, Michel Caffarel and, Pierre-Fran\c{c}ois Loos

TL;DR
This paper introduces a deterministic method for constructing nodal surfaces in quantum Monte Carlo calculations using selected configuration interaction expansions, improving accuracy for complex molecules like FeS.
Contribution
It presents a systematic, deterministic approach to improve trial wave function nodes in diffusion Monte Carlo via CIPSI-selected CI expansions, enhancing accuracy for challenging transition metal molecules.
Findings
Correct ground state of FeS identified with large sCI expansions
Accurate potential energy surfaces and spectroscopic constants obtained
Method systematically improves nodal surfaces for complex molecules
Abstract
In diffusion Monte Carlo (DMC) methods, the nodes (or zeroes) of the trial wave function dictate the magnitude of the fixed-node (FN) error. Within standard DMC implementations, they emanate from short multideterminant expansions, \textit{stochastically} optimized in the presence of a Jastrow factor. Here, following a recent proposal, we follow an alternative route by considering the nodes of selected configuration interaction (sCI) expansions built with the CIPSI (Configuration Interaction using a Perturbative Selection made Iteratively) algorithm. In contrast to standard implementations, these nodes can be \textit{systematically} and \textit{deterministically} improved by increasing the size of the sCI expansion. The present methodology is used to investigate the properties of the transition metal sulfide molecule FeS. This apparently simple molecule has been shown to be particularly…
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.
