HOME > Article > DetailA 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 author(s)ABE, TaichiTAMURA, RyoFulltext and dataset(s) on Materials Data Repository (MDR)Created at: 2023-07-19 10:50:20 +0900 Updated at: 2026-10-30 09:39:04 +0900
