Accurate Predictions of Electron Binding Energies of Dipole-Bound Anions via Quantum Monte Carlo Methods
Hongxia Hao, James Shee, Shiv Upadhyay, Can Ataca, Kenneth D. Jordan, and Brenda M. Rubenstein

TL;DR
This paper demonstrates that quantum Monte Carlo methods can accurately predict electron binding energies in dipole-bound anions, addressing a key challenge in modeling weakly-bound, large molecular systems.
Contribution
It introduces the use of correlated sampling Auxiliary Field Quantum Monte Carlo for precise energy difference calculations in dipole-bound anions.
Findings
QMC methods accurately characterize dipole-bound anions.
AFQMC effectively resolves energy differences between neutral and anionic species.
Results highlight QMC's potential for studying large, weakly-bound molecules.
Abstract
Neutral molecules with sufficiently large dipole moments can bind electrons in diffuse nonvalence orbitals with most of their charge density far from the nuclei, forming so-called dipole-bound anions. Because long-range correlation effects play an important role in the binding of an excess electron and overall binding energies are often only of the order of 10-100s of wave numbers, predictively modeling dipole-bound anions remains a challenge. Here, we demonstrate that quantum Monte Carlo methods can accurately characterize molecular dipole-bound anions with near threshold dipole moments. We also show that correlated sampling Auxiliary Field Quantum Monte Carlo is particularly well-suited for resolving the fine energy differences between the neutral and anionic species. These results shed light on the fundamental limitations of quantum Monte Carlo methods and pave the way toward using…
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.
