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Emerging Capabilities for the High-Throughput Characterization of Structural Materials
Annual Review of Materials Research ( IF 9.7 ) Pub Date : 2021-07-26 , DOI: 10.1146/annurev-matsci-080619-022100
Daniel B. Miracle 1 , Mu Li 2 , Zhaohan Zhang 3 , Rohan Mishra 2, 3 , Katharine M. Flores 2, 3
Affiliation  

Structural materials have lagged behind other classes in the use of combinatorial and high-throughput (CHT) methods for rapid screening and alloy development. The dual complexities of composition and microstructure are responsible for this, along with the need to produce bulk-like, defect-free materials libraries. This review evaluates recent progress in CHT evaluations for structural materials. High-throughput computations can augment or replace experiments and accelerate data analysis. New synthesis methods, including additive manufacturing, can rapidly produce composition gradients or arrays of discrete alloys-on-demand in bulk form, and new experimental methods have been validated for nearly all essential structural materials properties. The remaining gaps are CHT measurement of bulk tensile strength, ductility, and melting temperature and production of microstructural libraries. A search strategy designed forstructural materials gains efficiency by performing two layers of evaluations before addressing microstructure, and this review closes with a future vision of the autonomous, closed-loop CHT exploration of structural materials.

中文翻译:


结构材料高通量表征的新兴能力

结构材料在使用组合和高通量 (CHT) 方法进行快速筛选和合金开发方面落后于其他类别。造成这种情况的原因是成分和微观结构的双重复杂性,以及需要产生块状、无缺陷的材料库。本综述评估了结构材料 CHT 评估的最新进展。高通量计算可以增强或替代实验并加速数据分析。新的合成方法,包括增材制造,可以按需快速生产散装形式的成分梯度或离散合金阵列,并且新的实验方法几乎已针对所有基本结构材料特性进行了验证。其余间隙是体积拉伸强度、延展性、和熔解温度和微结构文库的产生。为结构材料设计的搜索策略通过在处理微观结构之前执行两层评估来提高效率,本次审查以结构材料的自主、闭环 CHT 探索的未来愿景结束。

更新日期:2021-07-27
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