Catalyst Property Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models

Janghoon Ock, Chakradhar Guntuboina, Amir Barati Farimani

Efficient catalyst screening necessitates predictive models for adsorption energy, a key property of reactivity. However, prevailing methods, notably graph neural networks (GNNs),…