The authors propose PhAST, a framework enhancing GNNs for catalyst design by improving graph creation, atom representations, and energy prediction heads. These enhancements lead to significant improvements in accuracy and scalability.
Machine learning innovations in PhAST improve energy efficiency and scalability for accelerated catalyst design.