High-Throughput CALPHAD: A Powerful Tool Towards Accelerated Metallurgy

被引:10
|
作者
Ghassemali, Ehsan [1 ]
Conway, Patrick L. J. [1 ]
机构
[1] Jonkoping Univ, Sch Engn, Dept Mat & Mfg, Jonkoping, Sweden
关键词
phase diagram; high-throughput approaches; alloy design; high entropy alloy; machine learning; HIGH-ENTROPY ALLOYS; STRUCTURE PREDICTION; EXPLORATION; DESIGN; COMBINATORIAL;
D O I
10.3389/fmats.2022.889771
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Introduction of high entropy alloys or multi-principal element alloys around 15 years ago motivated revising conventional alloy design strategies and proposed new ways for alloy development. Despite significant research since then, the potential for new material discoveries using the MPEA concept has hardly been scratched. Given the number of available elements and the vastness of possible composition combinations, an unlimited number of alloys are waiting to be investigated! Discovering novel high-performance materials can be like finding a needle in a haystack, which demands an enormous amount of time and computational capacity. To overcome the challenge, a systematic approach is essential to meet the growing demand for developing novel high-performance or multifunctional materials. This article aims to briefly review the challenges, recent progress and gaps, and future outlook in accelerated alloy development, with a specific focus on computational high-throughput (HT) screening methods integrated with the Calculation of Phase Diagrams (CALPHAD) technique.
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页数:7
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