Crystal Transformer Based Universal Atomic Embedding for Accurate and Transferable Prediction of Materials Properties

Luozhijie Jin, Zijian Du, Le Shu +2

In this work, we propose a novel approach to generate universal atomic embeddings, significantly enhancing the representational and accuracy aspects of atomic embeddings, which ult…