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Influence of chemistry and structure on interfacial segregation in NbMoTaW with high-throughput atomistic simulations

机译:化学和结构对NbMoTaW界面偏析的影响及高通量原子模拟

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Refractory multi-principal element alloys exhibiting promising mechanical properties such as excellent strength retention at elevated temperatures have been attracting increasing attention. Although their inherent chemical complexity is considered a defining feature, a challenge arises in predicting local chemical ordering, particularly in grain boundary regions with an enhanced structural disorder. In this study, we use atomistic simulations of a large group of bicrystal models to sample a wide variety of interfacial sites (grain boundary) in NbMoTaW and explore emergent trends in interfacial segregation and the underlying structural and chemical driving factors. Sampling hundreds of bicrystals along the 001 symmetric tilt axis and analyzing more than one hundred and thirty thousand grain boundary sites with a variety of local atomic environments, we uncover segregation trends in NbMoTaW. While Nb is the dominant segregant, more notable are the segregation patterns that deviate from expected behavior and mark situations where local structural and chemical driving forces lead to interesting segregation events. For example, incomplete depletion of Ta in low-angle boundaries results from chemical pinning due to favorable local compositional environments associated with chemical short-range ordering. Finally, machine learning models capturing and comparing the structural and chemical features of interfacial sites are developed to weigh their relative importance and contributions to segregation tendency, revealing a significant increase in predictive capability when including local chemical information. Overall, this work, highlighting the complex interplay between the local grain boundary structure and chemical short-range ordering, suggests tunable segregation and chemical ordering by tailoring grain boundary structure in multi-principal element alloys. Published under an exclusive license by AIP Publishing.
机译:难熔多主元素合金在高温下表现出优异的强度保持等有前途的力学性能,越来越受到人们的关注。尽管它们固有的化学复杂性被认为是一个决定性特征,但在预测局部化学有序方面存在挑战,特别是在结构无序增强的晶界区域。在这项研究中,我们使用一大组双晶模型的原子模拟来对NbMoTaW中的各种界面位点(晶界)进行采样,并探索界面偏析的新兴趋势以及潜在的结构和化学驱动因素。[001] 沿对称倾斜轴对数百个双晶进行采样,并分析了超过13万个具有各种局部原子环境的晶界位点,揭示了NbMoTaW的偏析趋势。虽然铌是占主导地位的分离物,但更值得注意的是偏离预期行为的分离模式,并标志着局部结构和化学驱动力导致有趣的分离事件的情况。例如,由于与化学短程有序相关的有利局部成分环境,化学钉扎导致 Ta 在低角度边界中的不完全耗竭。最后,开发了机器学习模型,捕获和比较界面位点的结构和化学特征,以权衡其相对重要性和对偏析趋势的贡献,揭示了在包含局部化学信息时预测能力的显着提高。总体而言,这项工作突出了局部晶界结构与化学短程有序之间的复杂相互作用,建议通过调整多主元素合金中的晶界结构来调整偏析和化学有序。在 AIP Publishing 的独家许可下发布。

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