论文标题
多组分高熵合金中的表面分离:原子模拟与多层分析模型
Surface segregation in multicomponent high entropy alloys: Atomistic simulations versus a multilayer analytical model
论文作者
论文摘要
本文比较了研究近表面组成曲线的两种方法,这些方法是由于所谓的cantor合金(一种cocrfemnni的摩尔合金)中表面隔离产生的。一种方法是由原子计算机模拟组成,该方法通过蒙特卡洛,分子动力学和分子静态技术的组合组合,另一种是在常规溶液近似中使用多层模型进行的最近的邻居分析计算,该计算首次开发了N-Compontent System并为5型组件的Cantor Alloy测试。这种类型的比较很有用,因为典型的计算机模拟需要使用〜100并行处理器2至3小时,而通过分析模型进行类似的计算,可以在笔记本电脑机上几秒钟进行。获得的结果显示了两种方法之间的质量良好一致性。因此,尽管计算机模拟的结果可能更可靠,并且提供了原子尺度的图像,但如果需要进行大量计算,例如,例如,为了优化多组分合金的组成,那么通过分析模型对组成空间的初始筛选可以提供相同范围的范围,即相同的范围范围,可以为范围进行快速研究。
This paper compares two approaches for investigating the near-surface composition profile that results from surface segregation in the so-called Cantor alloy, an equi-molar alloy of CoCrFeMnNi. One approach consists of atomistic computer simulations by a combination of Monte Carlo, molecular dynamics and molecular statics techniques, and the other is a nearest neighbor analytical calculation performed in the regular solution approximation with a multilayer model, developed here for the first time for a N-component system and tested for the 5-component Cantor alloy. This type of comparison is useful because a typical computer simulation requires the use of ~100 parallel processors for 2 to 3 hours, whereas a similar calculation by means of the analytical model can be performed in a few seconds on a laptop machine. The results obtained show qualitatively good agreement between the two approaches. Thus, while the results of the computer simulations are presumably more reliable, and provide an atomic scale picture, if massive computations are required, for example, in order to optimize the composition of a multicomponent alloy, then an initial screening of the composition space by the analytical model could provide a highly useful means of narrowing the regions of interest, in the same way that the CALPHAD method allows rapid investigation of phase diagrams in complex multinary systems.