通过模式分析理解CoNiV中的化学短程有序
Understanding Chemical Short-Range Order in CoNiV via Mode Analysis
浏览论文内容
中文总结 AI 辅助
研究利用机器学习原子间势生成的分子动力学快照，分析等原子面心立方NiCoV中的化学短程有序，通过径向分布函数等确定配位壳层等，解析出三种集体模式，指出标量径向分布函数收敛可能错过化学弛豫，壳层分辨键统计可跟踪短程有序发展。
中文摘要 AI 辅助
我们使用机器学习原子间势生成的分子动力学快照，分析了等原子面心立方NiCoV中的化学短程有序。径向分布函数确定稳定的配位壳层，而壳层分辨的沃伦-考利参数和键概率揭示了径向结构基本收敛后持续的化学有序。主要信号是第一壳层中V-V回避和第二壳层中V-V富集，与类L1$_2$局部有序趋势一致，第三壳层响应较弱。滞后的詹森-香农诊断表明键统计比径向分布函数松弛更慢。基于每个副本中心键概率的主成分分析解析出三种集体模式。这些结果表明标量径向分布函数收敛可能会错过缓慢的化学弛豫，壳层分辨的键统计为跟踪多组分合金中短程有序的发展提供了一条简洁途径。
英文摘要
We analyze chemical short-range order in equiatomic fcc NiCoV using molecular-dynamics snapshots generated with a machine-learned interatomic potential. Radial distribution functions identify stable coordination shells, while shell-resolved Warren-Cowley parameters and bond probabilities reveal continued chemical ordering after the radial structure has largely converged. The dominant signal is V-V avoidance in the first shell and V-V enrichment in the second shell, consistent with an L1$_2$-like local ordering tendency, while the third-shell response remains weak. Lagged Jensen-Shannon diagnostics show that bond statistics relax more slowly than the RDF. Principal component analysis of per-replica-centered bond probabilities resolves three collective modes: a V-sublattice ordering amplitude, a Ni-Co redistribution mode, and a Co-V exchange-like mode. These results show that scalar RDF convergence can miss slow chemical relaxation, and that shell-resolved bond statistics provide a compact route for tracking SRO development in multicomponent alloys.
