Combining molecular fragmentation and machine learning for accurate prediction of adiabatic ionization potentials
Year: 2025
Type: article
Source: Pure and Applied Chemistry
Institutions: Indiana University Bloomington, Indiana University
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: closed
Funder: National Science Foundation
OpenAlex ID: W4414410412
