A macro-nano-atomic–scale high-throughput approach for material research

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

1 Scopus Citations
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Author(s)

  • Yiwei Ju
  • Shuai Li
  • Xiaofei Yuan
  • Lei Cui
  • Andy Godfrey
  • Yunjie Yan
  • Zhiying Cheng
  • Jing Zhu

Detail(s)

Original languageEnglish
Article numbereabj8804
Journal / PublicationScience Advances
Volume7
Issue number49
Online published1 Dec 2021
Publication statusPublished - 3 Dec 2021

Link(s)

Abstract

Understanding the properties of materials requires structural characterization over large areas and different scales to link microstructure with performance. Here, we demonstrate a single-beam high-throughput scanning electron microscope allowing the collection of both secondary electron and backscattered electron signals over large areas. Combined with machine learning, a high efficiency in material research is achieved, illustrated here by a multiscale investigation of carbides in a second-generation nickel-base single-crystal superalloy. The resulting terabyte-sized panoramic atlas data, combined with conventional electron microscopy, enable a simultaneous multiscale analysis of carbide evolution during creep regarding specific type, location, composition, size, shape, and relationship with the matrix, providing sample-scale quantitative statistical data and giving a precise insight into the effect of carbides in the superalloy in a way not previously possible.

Research Area(s)

Citation Format(s)

A macro-nano-atomic–scale high-throughput approach for material research. / Ju, Yiwei; Li, Shuai; Yuan, Xiaofei; Cui, Lei; Godfrey, Andy; Yan, Yunjie; Cheng, Zhiying; Zhong, Xiaoyan; Zhu, Jing.

In: Science Advances, Vol. 7, No. 49, eabj8804, 03.12.2021.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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