fig3

A deep neural network potential model for transition metal diborides

Figure 3. (A) The snapshots of solid, solid-liquid coexistence, and liquid states of HEMB2_Ti during MD simulations; (B) Illustration of how the melting point value is determined based on V~T data; (C) Comparison of experimentally measured and calculated melting points of TMB2s, as well as the calculated melting points of HE-TMB2s, and the estimated values obtained by averaging the melting points of their constituent compounds. The composition of HEMB2_4, HEMB2_Ti, HEMB2_V and HEMB2_W are Zr0.25Hf0.25Nb0.25Ta0.25B2, Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2B2, V0.2Zr0.2Hf0.2Nb0.2Ta0.2B2, and W0.2Zr0.2Hf0.2Nb0.2Ta0.2B2, respectively. Melting point values are listed in Supplementary Table 1. MD: Molecular dynamics; HE-TMB2s: high-entropy transition metal diborides.

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