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A framework to predict binary liquidus by combining machine learning and CALPHAD assessments

Guillaume Deffrennes, Kei Terayama, Taichi Abe, Etsuko Ogamino, Ryo Tamura.
Materials & Design 232 112111. 2023.
Open Access Elsevier BV (Publisher)

NIMS著者


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: 2024-07-03 09:59:32 +0900

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