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Chikashi Shinagawa
Chikashi Shinagawa
University of Tokyo
Chemistry
Ion
Artificial neural network
Range (mathematics)
Materials science
5
Papers
13
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PFP: Universal Neural Network Potential for Material Discovery
2021
arXiv: Materials Science
So Takamoto
Chikashi Shinagawa
Motoki Daisuke
Kosuke Nakago
Wenwen Li
Iori Kurata
Taku Watanabe
Yoshihiro Yayama
Hiroki Iriguchi
Yusuke Asano
Tasuku Onodera
Takafumi Ishii
Takao Kudo
Hideki Ono
Ryohto Sawada
Ryuichiro Ishitani
Marc Ong
Taiki Yamaguchi
Toshiki Kataoka
Akihide Hayashi
Takeshi Ibuka
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Calculations of Real-System Nanoparticles Using Universal Neural Network Potential PFP
2021
arXiv: Materials Science
Gerardo Valadez Huerta
Yusuke Nanba
Iori Kurata
Kosuke Nakago
So Takamoto
Chikashi Shinagawa
Michihisa Koyama
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Charge Density Prediction through 3D-CNN for Fast Convergence of Self-Consistent DFT calculation
2020
Bulletin of the American Physical Society
Iori Kurata
Chikashi Shinagawa
Ryohto Sawada
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A Theoretical study on the charge and discharge states of Na‐ion battery cathode material, Na1+xFePO4F
2019
Journal of Computational Chemistry
Chikashi Shinagawa
Yusuke Morikawa
Shin-ichi Nishimura
Hiroshi Ushiyama
Atsuo Yamada
Koichi Yamashita
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Multiscale Simulations for Lithium-Ion Batteries: SEI Film Growth and Capacity Fading
2017
Journal of The Electrochemical Society
Chikashi Shinagawa
Hiroshi Ushiyama
Koichi Yamashita
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Citations (12)
1