| 34件の論文が見つかりました。論文は出版年月日順に表示しています。（ヘルプ） | |
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| Hiroshi Mizuseki, Ryoji Sahara, Kenta Hongo. Order–disorder competition in equiatomic 3d–transition–metal quaternary alloys: phase stability and electronic structure. Science and Technology of Advanced Materials: Methods. 3 [1] (2023) 10.1080/27660400.2022.2153632 | |
| Satoshi Minamoto, Susumu Tsukamoto, Tadashi Kasuya, Makoto Watanabe, Masahiko Demura. Prediction of continuous cooling transformation diagram for weld heat affected zone by machine learning. Science and Technology of Advanced Materials: Methods. 2 [1] (2022) 402-415 10.1080/27660400.2022.2123262 | |
| Koki Obinata, Tomofumi Nakayama, Atsushi Ishikawa, Keitaro Sodeyama, Kenji Nagata, Yasuhiko Igarashi, Masato Okada. Data integration for multiple alkali metals in predicting coordination energies based on Bayesian inference. Science and Technology of Advanced Materials: Methods. 2 [1] (2022) 355-364 10.1080/27660400.2022.2108353 | |
| Ryo Tamura, Masato Sumita, Kei Terayama, Koji Tsuda, Fujio Izumi, Yoshitaka Matsushita. Automatic Rietveld refinement by robotic process automation with RIETAN-FP. Science and Technology of Advanced Materials: Methods. 2 [1] (2022) 435-444 10.1080/27660400.2022.2146470 | |
| Ta-Te Chen, Ikumu Watanabe. Data-driven estimation of plastic properties in work-hardening model combining power-law and linear hardening using instrumented indentation test. Science and Technology of Advanced Materials: Methods. 2 [1] (2022) 416-424 10.1080/27660400.2022.2129508 | |
| Asako Yoshinari, Yuma Iwasaki, Masato Kotsugi, Shunsuke Sato, Naoka Nagamura. Skill-Agnostic analysis of reflection high-energy electron diffraction patterns for Si(111) surface superstructures using machine learning. Science and Technology of Advanced Materials: Methods. 2 [1] (2022) 162-174 10.1080/27660400.2022.2079942 | |
| Y. Mototake, K. Ito, M. Demura. Quantitative prediction of fracture toughness (KIc) of polymer by fractography using deep neural networks. Science and Technology of Advanced Materials: Methods. 2 [1] (2022) 310-321 10.1080/27660400.2022.2107883 | |
| Yuma Iwasaki, Hwang Jaekyun, Yuya Sakuraba, Masato Kotsugi, Yasuhiko Igarashi. Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization. Science and Technology of Advanced Materials: Methods. 2 [1] (2022) 365-371 10.1080/27660400.2022.2123263 | |
| Ryo Tamura, Guillaume Deffrennes, Kwangsik Han, Taichi Abe, Haruhiko Morito, Yasuyuki Nakamura, Masanobu Naito, Ryoji Katsube, Yoshitaro Nose, Kei Terayama. Machine-Learning-Based phase diagram construction for high-throughput batch experiments. Science and Technology of Advanced Materials: Methods. 2 [1] (2022) 153-161 10.1080/27660400.2022.2076548 | |
| Hisashi Hirukawa, Yoshiyuki Furuya, Hideaki Nishikawa, Nobuo Nagashima, Etsuo Takeuchi. NIMS fatigue data sheet on gigacycle fatigue properties of A6061-T6 (Al-1.0Mg-0.6Si) aluminium alloy at high stress ratios. Science and Technology of Advanced Materials: Methods. 2 [1] (2022) 232-249 10.1080/27660400.2022.2085020 | |
