A General Predictive and Conceptual Model for Repulsive Electronic States in Valence Ionized Molecules
Year: 2026
Type: article
Abstract: High Resolution Image Download MS PowerPoint Slide Valence photoionization generates photoions with excess internal energy, often resulting in statistical dissociation, well described by RRKM theory. Yet, numerous small photoions with electronegative substituents (e.g., F, Cl, Br, OH) have been shown to exhibit nonstatistical behavior, undergoing direct dissociation from repulsive electronic states to yield radicals such as F • or OH •, along with their corresponding fragment ions. Here, we present a general, predictive model that rationalizes this mechanism and extends it to molecules bearing electronegative substituents capable of forming 2 P (F •, Cl •, Br • ) or 2 Π (OH •, SH •, N 3 •, NCO • ) radicals. Nonstatistical dissociation arises from ionization of p- or π-localized orbitals on electronegative atoms, producing radical-like fragments unbound to the cationic core. The outcome is governed by three factors: excitation energy, the bonding character of the ionized orbital, and electronic degeneracy between states upon dissociation. Using these criteria, we define four classes of potential energy surfaces, enabling predictive classification of dissociative behavior. Extensive computations on over 50 molecules confirm the model’s accuracy and generality.
Authors: Luka Dockx, Bálint Sztáray, Anthony D. Dutoi
Institution: University of the Pacific
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,500
Awards: G1453181110, G1555197637, G1787346651, Track 4: Advanced CI Coordination Ecosystem: Monitoring and Measurement Services, G2185668523, G2326902186, G338811424, G3562386289, Track 1: ACCESS Resource Allocations Marketplace and Platform Services (RAMPS), G4010157413, Non-Minimum Energy Pathways in the Dissociation of Energy-Selected Ions, ACO: An Open CI Ecosystem to Advance Scientific Discovery (OpenCI), Track 3: COre National Ecosystem for CyberinfrasTructure (CONECT), G5367127336, G5464919783, G7557797697, G7916508619, Track 2: Customized Multi-tier Assistance, Training, and Computational Help (MATCH) for End User ACCESS to CI, G8994211811
OpenAlex ID: W7130331715
