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The glass-forming ability of model metal-metalloid alloys

机译:模型金属-准金属合金的玻璃形成能力

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Bulk metallic glasses (BMGs) are amorphous alloys with desirable mechanical properties and processing capabilities. To date, the design of new BMGs has largely employed empirical rules and trial-and-error experimental approaches. Ab initio computational methods are currently prohibitively slow to be practically used in searching the vast space of possible atomic combinations for bulk glass formers. Here, we perform molecular dynamics simulations of a coarse-grained, anisotropic potential, which mimics interatomic covalent bonding, to measure the critical cooling rates for metal-metalloid alloys as a function of the atomic size ratio sS/sL and number fraction xS of the metalloid species. We show that the regime in the space of sS/sL and xS where well-mixed, optimal glass formers occur for patchy and LJ particle mixtures, coincides with that for experimentally observed metal-metalloid glass formers. Thus, our simple computational model provides the capability to perform combinatorial searches to identify novel glass-forming alloys. (C) 2015 AIP Publishing LLC.
机译:大块金属玻璃(BMG)是具有理想机械性能和加工能力的非晶态合金。迄今为止,新型BMG的设计在很大程度上采用了经验规则和反复试验的实验方法。从头开始计算的方法目前非常缓慢,以至于不能实际用于搜索大块玻璃形成物的可能原子组合的广阔空间。在这里,我们对模拟晶粒间共价键的粗粒各向异性电势进行分子动力学模拟,以测量金属-准金属合金的临界冷却速率,该速率是原子尺寸比sS / sL和原子分数xS的函数。类金属。我们显示,在sS / sL和xS空间中,对于斑块状和LJ颗粒混合物而言,发生充分混合的最佳玻璃形成物的状态与实验观察到的金属-准金属玻璃形成物的状态一致。因此,我们简单的计算模型提供了执行组合搜索以识别新型玻璃形成合金的能力。 (C)2015 AIP Publishing LLC。

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