Multimodal machine learning model increases accuracy of catalyst screening
Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand systems’ adsorption energy, something that machine learning (ML) models, particularly graph neural networks (GNNs), have been successful at predicting. ⌘ Read more