Search Results for author: Takenori Yamamoto

Found 1 papers, 1 papers with code

Crystal Graph Neural Networks for Data Mining in Materials Science

1 code implementation Technical report, RIMCS LLC 2019 Takenori Yamamoto

This paper proposes crystal graph neural networks (CGNNs) that use no bond distances, and introduces a scale-invariant graph coordinator that makes up crystal graphs for the CGNN models to be trained on the dataset based on a theoretical materials database.

Band Gap Formation Energy +2

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