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Recent Advances in High-entropy Ceramics: Design Principles, Structural Characteristics, and Emerging Properties
Yiran Li, Donghui Pan, Jiehui Cao, Wenhui Fang, Yiwang Bao, Bin Liu
Extreme Materials, DOI: 10.1016/j.exm.2025.05.002

Fig. 2. (a) Pairwise correlations of computational parameters: atomic radius deviations, lattice parameters, stabilization factors for miscible binary carbides, and electrochemical factors on different scales (top); correlations between different electronegativity scales (bottom) [64]. (b) Atomic size difference and atomic mass difference vs. thermal conductivity (left) and thermal expansion coefficient (right) at 1100°C [67]. (c) DFT (Density Functional Theory)-computed formation energies of the six model cation arrangements relative to the DFT-derived ground-state cation arrangement (left); oxide compositions are sorted in descending order of the highest DFT-computed formation energy relative to the ground state (right) [60]. (d) Workflow of machine learning for HECs. [68].
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