Rational design and glass-forming ability prediction of bulk metallic glasses via interpretable machine learning

A new glass-forming ability criterion for bulk metallic glasses

Z.P. Lu, C.T. Liu · Acta Materialia · 2002 · 1.3K citations

Natural Sciences, Materials Engineering, Materials Science +10

Deep forest

Zhi‐Hua Zhou, Ji Feng · National Science Review · 2018 · 755 citations · Full text

Computing, Computer Science, Algorithms +14

High-temperature bulk metallic glasses developed by combinatorial methods

Mingxing Li, Shao-Fan Zhao, Zhen Lu et al. · Nature · 2019 · 326 citations

Natural Sciences, Materials Engineering, Materials Science +10

The correlation between reduced glass transition temperature and glass forming ability of bulk metallic glasses

Z.P. Lu, Hao Tan, S.C. Ng et al. · Scripta Materialia · 2000 · 305 citations

Natural Sciences, Materials Engineering, Materials Science +10

A machine-learning approach to predicting and understanding the properties of amorphous metallic alloys

Jie Xiong, San‐Qiang Shi, Tong-Yi Zhang · Materials & Design · 2019 · 286 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17