HOME > 論文 > 書誌詳細A framework to predict binary liquidus by combining machine learning and CALPHAD assessmentsGuillaume Deffrennes, Kei Terayama, Taichi Abe, Etsuko Ogamino, Ryo Tamura. Materials & Design 232 112111. 2023.https://doi.org/10.1016/j.matdes.2023.112111 Open Access Elsevier BV (Publisher) NIMS著者阿部 太一田村 亮Materials Data Repository (MDR)上の本文・データセット作成時刻: 2023-07-19 10:50:20 +0900更新時刻: 2025-01-09 09:59:11 +0900
