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Yuta Suzuki

2 accepted papers

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
2022

Robotic Powder Grinding with a Soft Jig for Laboratory Automation in Material Science

IROS 2022poster

Grinding materials into a fine powder is a time-consuming task in material science that is generally performed by hand, as current automated grinding machines might not be suitable for preparing small-sized samples. This study presents a robotic powder grinding system for laboratory automation in ma…

Cited by 11SourceScholar