Material machine learning for alloys: Applications, challenges and perspectives
X Liu, P Xu, J Zhao, W Lu, M Li, G Wang - Journal of Alloys and Compounds, 2022 - Elsevier
Materials machine learning (ML) is revolutionizing various areas in a fast speed, aiming to
efficiently design novel materials with superior performance. Here we reviewed the recent …
efficiently design novel materials with superior performance. Here we reviewed the recent …
[引用][C] Material machine learning for alloys: Applications, challenges and perspectives
X Liu, P Xu, J Zhao, W Lu, M Li, G Wang - Journal of Alloys and …, 2022 - cir.nii.ac.jp
Material machine learning for alloys: Applications, challenges and perspectives | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …