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Data-driven electron-diffraction approach reveals local short-range ordering in CrCoNi with ordering effects
oleh: Haw-Wen Hsiao, Rui Feng, Haoyang Ni, Ke An, Jonathan D. Poplawsky, Peter K. Liaw, Jian-Min Zuo
Format: | Article |
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Diterbitkan: | Nature Portfolio 2022-11-01 |
Deskripsi
Non-random chemical mixings that are intrinsic to medium- and high-entropy alloys are difficult to detect and quantify. Here the authors perform a diffraction data-mining analysis, revealing nanoclusters of short-range orders in a CrCoNi alloy, and their impacts on chemical homogeneity and dislocations slip.