Bridging CGR Representations and Language Models for Reaction Property Prediction

Abstract

Accurate prediction of reaction properties, such as activation energies, enthalpies, rate constants and yields, is key to the design of efficient and sustainable chemical processes. While graph-based models using Condensed...