paper

Orbital Optimization and Neural-Network-Assisted Configuration Interaction Calculations of Rydberg States

arXiv:2510.26751 · doi:10.1021/acs.jctc.5c01837

Abstract

Rydberg excited states of molecules pose a challenge for electronic structure calculations because of their highly diffuse electron distribution. Even large and elaborate atomic basis sets tend to underrepresent the long-range tail, overly confining the Rydberg state. An approach is presented here where the molecular orbitals are variationally optimized for the excited state using a plane wave basis set in a Hartree-Fock calculation, followed by a configuration interaction calculation. The use of excited state optimized orbitals greatly enhances the convergence of the many-body calculation, as illustrated by a full configuration interaction calculation of the Rydberg state of H. A neural-network-based selective configuration interaction approach is then applied to calculations of and states of HO and NH. The obtained values of excitation energy are in close agreement with experimental measurements as well as previous many-body calculations where sufficiently diffuse atomic basis sets were used. Calculations using atomic basis sets lacking extra diffuse functions, such as aug-cc-pVTZ, give significantly higher estimates due to confinement of the Rydberg states.

13 pages, 7 figures (main), 4 pages, 8 figures (SI)

Orbital Optimization and Neural-Network-Assisted Configuration Interaction Calculations of Rydberg States · wovepaper