| 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 | 229 | 2022 |
| TeaNet: Universal neural network interatomic potential inspired by iterative electronic relaxations S Takamoto, S Izumi, J Li Computational Materials Science 207, 111280, 2022 | 78 | 2022 |
| Towards universal neural network interatomic potential S Takamoto, D Okanohara, QJ Li, J Li Journal of Materiomics 9 (3), 447-454, 2023 | 37 | 2023 |
| 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 | 23 | 2018 |
| 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 | 22 | 2018 |
| 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 | 19 | 2018 |
| 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 | 18 | 2020 |
| 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 | 16 | 2016 |
| 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 | 12 | 2019 |
| 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 | 3 | 2021 |
| 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 | 2 | 2014 |
| 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 | 1 | 2024 |
| 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 |
| Generative Model for Constructing Reaction Path from Initial to Final States A Hayashi, S Takamoto, J Li, Y Tsuboi, D Okanohara arXiv preprint arXiv:2401.10721, 2024 | | 2024 |
| High-temperature multi-element 2021 (HME21) dataset S Takamoto, C Shinagawa, D Motoki, K Nakago, W Li, I Kurata, ... (No Title), 2022 | | 2022 |
