Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography

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成果类型：

期刊论文

作者：

Li, Yue*;Wei, Ye;Wang, Zhangwei*;Liu, Xiaochun;Colnaghi, Timoteo;...

通讯作者：

Li, Yue;Wang, Zhangwei;Gault, Baptiste

作者机构：

[Li, Yue] Max-Planck Institut für Eisenforschung GmbH, Max-Planck-Straße 1, 40237, Düsseldorf, Germany. yue.li@mpie.de

[Dsouza, Raynol; Wei, Ye; Gong, Yilun; Zhou, Xuyang; Huber, Liam; Neugebauer, Jörg; Stephenson, Leigh T; Rao, Ziyuan; Han, Liuliu] Max-Planck Institut für Eisenforschung GmbH, Max-Planck-Straße 1, 40237, Düsseldorf, Germany

[Wang, Zhangwei] State Key Laboratory of Powder Metallurgy, Central South University, Changsha, 410083, China. z.wang@csu.edu.cn

[Liu, Xiaochun] Institute of Metals, College of Materials Science and Engineering, Changsha University of Science and Technology, Changsha, 410114, China

[Marek, Andreas; Colnaghi, Timoteo; Rampp, Markus] Max Planck Computing and Data Facility, Gießenbachstraße 2, 85748, Garching, Germany

通讯机构：

[Li, Yue; Gault, Baptiste] M

[Wang, Zhangwei] S

Max-Planck Institut für Eisenforschung GmbH, Max-Planck-Straße 1, 40237, Düsseldorf, Germany. yue.

State Key Laboratory of Powder Metallurgy, Central South University, Changsha, 410083, China. z.

Max-Planck Institut für Eisenforschung GmbH, Max-Planck-Straße 1, 40237, Düsseldorf, Germany. b.

语种：

英文

期刊：

Nature Communications

ISSN：

2041-1723

年：

2023

卷：

期：

页码：

7410

DOI：

10.1038/s41467-023-43314-y

基金类别：

Open Access funding enabled and organized by Projekt DEAL.

机构署名：

本校为其他机构

院系归属：

材料科学与工程学院

摘要：

Chemical short-range order (CSRO) refers to atoms of specific elements self-organising within a disordered crystalline matrix to form particular atomic neighbourhoods. CSRO is typically characterized indirectly, using volume-averaged or through projection microscopy techniques that fail to capture the three-dimensional atomistic architectures. Here, we present a machine-learning enhanced approach to break the inherent resolution limits of atom probe tomography enabling three-dimensional imaging of multiple CSROs. We showcase our approach by addressing a long-standing question encountered in bo...

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Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography

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