五元
高熵合金
三元运算
从头算
材料科学
统计物理学
热力学
二进制数
固溶体
熵(时间箭头)
蒙特卡罗方法
吞吐量
计算机科学
物理
数学
微观结构
统计
冶金
量子力学
算术
程序设计语言
无线
合金
电信
作者
Yoav Lederer,Cormac Toher,Kenneth S. Vecchio,Stefano Curtarolo
标识
DOI:10.1016/j.actamat.2018.07.042
摘要
While the ongoing search to discover new high-entropy systems is slowly expanding beyond metals, a rational and effective method for predicting “in silico” the solid solution forming ability of multi-component systems remains yet to be developed. In this article, we propose a novel high-throughput approach, called “LTVC”, for estimating the transition temperature of a solid solution: ab-initio energies are incorporated into a mean field statistical mechanical model where an order parameter follows the evolution of disorder. The LTVC method is corroborated by Monte Carlo simulations and the results from the current most reliable data for binary, ternary, quaternary and quinary systems (96.6%; 90.7%; 100% and 100%, of correct solid solution predictions, respectively). By scanning through the many thousands of systems available in the AFLOW consortium repository, it is possible to predict a plethora of previously unknown potential quaternary and quinary solid solutions for future experimental validation.
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