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Ryo Igarashi

2 accepted papers

2025

Rethinking the role of frames for SE(3)-invariant crystal structure modeling

ICLR 2025poster

Crystal structure modeling with graph neural networks is essential for various applications in materials informatics, and capturing SE(3)-invariant geometric features is a fundamental requirement for these networks. A straightforward approach is to model with orientation-standardized structures thro…

Cited by 1SourcePDFScholar
2024

Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding

ICLR 2024poster

Predicting physical properties of materials from their crystal structures is a fundamental problem in materials science. In peripheral areas such as the prediction of molecular properties, fully connected attention networks have been shown to be successful. However, unlike these finite atom arrangem…

Cited by 11SourcePDFScholar