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Perspective: Composition?structure?property mapping in high-throu...

角度:组成?结构?属性映射在高通量实验:将数据转化为知识

【作       者】:

Aaron G. Kusne,Jason Hattrick...

【机       构】: 美国国家标准与技术研究院
【承研机构】:

【原文地址】: https://www.nist.gov/publications/perspective-composition150structure150property-mapping-high-throughput-experiments
【发表时间】:

2016-05-26

摘要

With their ability to rapidly elucidate composition-structure-property relationships, high-throughput experimental studies have revolutionized how materials are discovered, optimized, and commercialized. It is now possible to synthesize and characterize high-throughput libraries that systematically address thousands of individual cuts of fabrication parameter space. An unresolved issue remains transforming structural characterization data into phase mappings. This difficulty is related to the complex information present in diffraction and spectroscopic data and its variation with composition and processing. We review the field of automated phase diagram attribution and discuss the impact that emerging computational approaches will have in the generation of phase diagrams and beyond.

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