Database of Ternary Amorphous Alloys Based on Machine Learning
收藏科学数据银行2024-11-22 更新2026-04-23 收录
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资源简介：
We develop a machine learning workflow to predict the critical casting diameter, glass transition temperature, and Young’s modulus for 45 ternary reported amorphous alloy systems. The predicted results have been organized into a database, enabling direct retrieval of predicted values based on compositional information.
提供机构：
Institute of Physics; Beihang University
创建时间：
2024-09-09
