Atoms As Words: A Novel Approach to Deciphering Material Properties Using NLP-inspired Machine Learning on Crystallographic Information Files (Cifs)
ICLR 2024（2024）
Key words
Condensed matter physics,Materials science,Material properties prediction,Crystallographic Information Files (CIFs),Natural Language Processing (NLP) in materials,Word2Vec-inspired technique,Atomic embeddings,CIFSemantics model,Band gap,Formation energy,Material representation
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