Machine Learning Product State Distributions from Initial Reactant States for a Reactive Atom-Diatom Collision System

Julian Arnold, Juan Carlos San Vicente Veliz, Debasish Koner +3

A machine learned (ML) model for predicting product state distributions from specific initial states (state-to-distribution or STD) for reactive atom-diatom collisions is presented…