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Chikashi Shinagawa — most-cited papers & profile · AI for Science
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Chikashi Shinagawa
2
papers ·
0
citations
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Most-cited papers
Efficient Crystal Structure Prediction Using Universal Neural Network Potential with Diversity Preservation in Genetic Algorithms
2025
Towards Universal Neural Network Potential for Material Discovery Applicable to Arbitrary Combination of 45 Elements
2021
Top co-authors
So Takamoto
· 2
Akihide Hayashi
· 1
Daisuke Motoki
· 1
Hideaki Imamura
· 1
Hideki Ono
· 1
Hiroki Iriguchi
· 1
Iori Kurata
· 1
Ju Li
· 1
Katsuhiko Nishimra
· 1
Kohei Shinohara
· 1
Kosuke Nakago
· 1
Marc Ong
· 1
Topics
Materials
Chemistry
Physics ML
Drug Discovery