Research field (2):
Mathematical physics and basic theory
, Magnetism, superconductivity, and strongly correlated systems
Research keywords (6):
マテリアルズ・インフォマティクス
, 量子アニーリング
, イジングマシン
, 機械学習
, Statistical mechanics
, Magnetic materials
Papers (87):
Guillaume Deffrennes, Bengt Hallstedt, Taichi Abe, Quentin Bizot, Evelyne Fischer, Jean-Marc Joubert, Kei Terayama, Ryo Tamura. Data-driven study of the enthalpy of mixing in the liquid phase. Calphad. 2024. 87. 102745-102745
Ai Koizumi, Guillaume Deffrennes, Kei Terayama, Ryo Tamura. Performance of uncertainty-based active learning for efficient approximation of black-box functions in materials science. Scientific Reports. 2024. 14. 1
Fumiyasu Oba, Takayuki Nagai, Ryoji Katsube, Yasuhide Mochizuki, Masatake Tsuji, Guillaume Deffrennes, Kota Hanzawa, Akitoshi Nakano, Akira Takahashi, Kei Terayama, et al. Theoretical and data-driven approaches to semiconductors and dielectrics: from prediction to experiment. Science and Technology of Advanced Materials. 2024
Nobuya Sato, Akira Takahashi, Shin Kiyohara, Kei Terayama, Ryo Tamura, Fumiyasu Oba. Target Material Property-Dependent Cluster Analysis of Inorganic Compounds. Advanced Intelligent Systems. 2024
Ryo Tamura, Kenji Nagata, Keitaro Sodeyama, Kensaku Nakamura, Toshiki Tokuhira, Satoshi Shibata, Kazuki Hammura, Hiroki Sugisawa, Masaya Kawamura, Teruki Tsurimoto, et al. Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis. Science and Technology of Advanced Materials. 2024