fig1

Identifying stress-induced heterogeneity in <InlineParagraph>Cu<sub>20</sub>Zr<sub>20</sub>Ni<sub>20</sub>Ti<sub>20</sub>Pd<sub>20</sub></InlineParagraph><InlineParagraph> high-entropy</InlineParagraph> metallic glass from machine learning atomic dynamics

Figure 1. Machine-learned temperature, TML vs. actual temperature, T. (A): Cu atoms; (B): Zr atoms; (C): Ni atoms; (D): Ti atoms; (E): Pd atoms; (F): total atoms. ML: Machine learning.

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