A rapid and effective method for alloy materials design via sample data transfer machine learning

Abstract One of the challenges in material design is to rapidly develop new materials or improve the performance of materials by utilizing the data and knowledge of existing materials. Here, a rapid and effective method of alloy material design via data transfer learning is proposed to efficiently d...

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Bibliographic Details
Main Authors: Lei Jiang, Zhihao Zhang, Hao Hu, Xingqun He, Huadong Fu, Jianxin Xie
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-023-00979-9