Figure2

Data-driven prediction of the glass-forming ability of modeled alloys by supervised machine learning

Figure 2. Data exploration of experimental binary alloys grouped by the glass type. The geometrical parameter and the energetic parameter are considered for comparison.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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