fig3

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 3. Correlation between TML and D2mint). (A): Snapshot of a HEMG slice with the thickness of 3.8 Å, in which the atoms are colored by TML; (B-E): colored by D2mint), at Δt = 5, 20, 50, 100 ps, respectively; (F): correlation coefficients between TML and D2mint). The results are from the simulation at T = 100 K and σh = 2.3 GPa. ML: Machine learning.

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