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So Takamoto

Showing results (1-10 of 3) with videos related to

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Scientific Reports|May 21, 2024
High-throughput investigation of stability and Li diffusion of doped solid electrolytes via neural network potential without configurational knowledgeRyohto Sawada, Kosuke Nakago, Chikashi Shinagawa, et al.
Journal of Chemical Theory and Computation|January 18, 2025
Generative Model for Constructing Reaction Path from Initial to Final StatesAkihide Hayashi, So Takamoto, Ju Li, et al.
Nature Communications|May 31, 2022
Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elementsSo Takamoto, Chikashi Shinagawa, Daisuke Motoki, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Scientific Reports|May 21, 2024
High-throughput investigation of stability and Li diffusion of doped solid electrolytes via neural network potential without configurational knowledgeRyohto Sawada, Kosuke Nakago, Chikashi Shinagawa, et al.
Journal of Chemical Theory and Computation|January 18, 2025
Generative Model for Constructing Reaction Path from Initial to Final StatesAkihide Hayashi, So Takamoto, Ju Li, et al.
Nature Communications|May 31, 2022
Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elementsSo Takamoto, Chikashi Shinagawa, Daisuke Motoki, et al.
Pageof 1