HOME > 論文 > 書誌詳細Database and deep-learning scalability of anharmonic phonon properties by automated brute-force first-principles calculationsMasato Ohnishi, Tianqi Deng, Pol Torres, Zhihao Xu, Terumasa Tadano, Haoming Zhang, Wei Nong, Masatoshi Hanai, Zeyu Wang, Michimasa Morita, Zhiting Tian, Ming Hu, Xiulin Ruan, Ryo Yoshida, Toyotaro Suzumura, Lucas Lindsay, Alan J. H. McGaughey, Tengfei Luo, Kedar Hippalgaonkar, Junichiro Shiomi. npj Computational Materials 12 [1] 150. 2026.https://doi.org/10.1038/s41524-026-02033-w Open Access Springer Science and Business Media LLC (Publisher) Materials Data Repository (MDR) NIMS著者只野 央将Materials Data Repository (MDR)上の本文・データセットMDRavailable Database and deep-learning scalability of anharmonic phonon properties by automated brute-force first-principles calculations 作成時刻: 2026-04-16 03:05:45 +0900 更新時刻: 2026-09-22 04:30:38 +0900
