Akitoshi Mizuno
((1) National Institute of Technology, Hakodate College, (2) National Institute for Materials Science)
22/09/2023, 16:10
In recent years, machine learning using liquid metal properties and theoretical models as input has led to rapid progress in the development of metallic glasses as well as many functional materials. It is therefore expected to become important in the future to use liquid structures as training data for machine learning to predict glass-forming ability. However, as metallic glasses are often...
