フォロー
So Takamoto
So Takamoto
Preferred Networks, Inc.
確認したメール アドレス: preferred.jp - ホームページ
タイトル
引用先
引用先
Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements
S Takamoto, C Shinagawa, D Motoki, K Nakago, W Li, I Kurata, ...
Nature Communications 13 (1), 2991, 2022
2472022
TeaNet: Universal neural network interatomic potential inspired by iterative electronic relaxations
S Takamoto, S Izumi, J Li
Computational Materials Science 207, 111280, 2022
832022
Towards universal neural network interatomic potential
S Takamoto, D Okanohara, QJ Li, J Li
Journal of Materiomics 9 (3), 447-454, 2023
402023
Development of a method to evaluate the stress distribution in 4H-SiC power devices
H Sakakima, S Takamoto, Y Murakami, A Hatano, A Goryu, K Hirohata, ...
Japanese Journal of Applied Physics 57 (10), 106602, 2018
242018
Elucidation of the atomic-scale mechanism of the anisotropic oxidation rate of 4H-SiC between the (0001) Si-face and (0001) C-face by using a new Si-OC interatomic potential
S Takamoto, T Yamasaki, T Ohno, C Kaneta, A Hatano, S Izumi
Journal of Applied Physics 123 (18), 2018
222018
Atomistic mechanism of graphene growth on a SiC substrate: Large-scale molecular dynamics simulations based on a new charge-transfer bond-order type potential
S Takamoto, T Yamasaki, J Nara, T Ohno, C Kaneta, A Hatano, S Izumi
Physical Review B 97 (12), 125411, 2018
212018
Temperature-dependent stacking fault energies of 4H-SiC: A first-principles study
H Sakakima, S Takamoto, A Hatano, S Izumi
Journal of Applied Physics 127 (12), 2020
182020
Charge-transfer interatomic potential for investigation of the thermal-oxidation growth process of silicon
S Takamoto, T Kumagai, T Yamasaki, T Ohno, C Kaneta, A Hatano, ...
Journal of Applied Physics 120 (16), 2016
162016
Reaction pathway analysis for the conversion of perfect screw basal plane dislocation to threading edge dislocation in 4H-SiC
Y Tamura, H Sakakima, S Takamoto, A Hatano, S Izumi
Japanese Journal of Applied Physics 58 (8), 081005, 2019
122019
Calculations of real-system nanoparticles using universal neural network potential PFP
GV Huerta, Y Nanba, I Kurata, K Nakago, S Takamoto, C Shinagawa, ...
arXiv preprint arXiv:2107.00963, 2021
32021
Analytical method for estimating the thermal expansion coefficient of metals at high temperature
S Takamoto, S Izumi, T Nakata, S Sakai, S Oinuma, Y Nakatani
Modelling and Simulation in Materials Science and Engineering 23 (1), 015010, 2014
22014
High-throughput investigation of stability and Li diffusion of doped solid electrolytes via neural network potential without configurational knowledge
R Sawada, K Nakago, C Shinagawa, S Takamoto
Scientific Reports 14 (1), 11602, 2024
12024
INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD
S Takamoto, C Shinagawa, T Ishii
US Patent App. 18/884,988, 2025
2025
A Practical Guide to Machine Learning Interatomic Potentials–Status and Future
R Jacobs, D Morgan, S Attarian, J Meng, C Shen, Z Wu, C Xie, JH Yang, ...
Current opinion in solid state materials science, 2025
2025
INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD
S Takamoto
US Patent App. 18/669,787, 2024
2024
Information processing system, information processing device, and information processing method
K Nakago, D Taniwaki, M Abe, MA Ong, S Takamoto, T Kudo, Y Asano
US Patent App. 18/533,469, 2024
2024
Training device, method, non-transitory computer readable medium, and inferring device
C Shinagawa, S Takamoto, I Kurata
US Patent App. 18/534,130, 2024
2024
Inferring device, model generation method, and inferring method
S Takamoto, W Li, Y Asano, T Ishii
US Patent App. 18/534,176, 2024
2024
Inferring device, inferring method, and training device
D Motoki, C Shinagawa, S Takamoto, H Iriguchi
US Patent App. 18/534,252, 2024
2024
Inferring device, training device, method, and non-transitory computer readable medium
S Takamoto, C Shinagawa
US Patent App. 18/533,481, 2024
2024
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
論文 1–20