Interpreting nanovoids in atom probe tomography data for accurate local compositional measurements

Xing Wang*, Constantinos Hatzoglou, Brian Sneed, Zhe Fan, Wei Guo, Ke Jin, Di Chen, Hongbin Bei, Yongqiang Wang, William J. Weber, Yanwen Zhang, Baptiste Gault, Karren L. More, Francois Vurpillot, Jonathan D. Poplawsky

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

43 引用 (Scopus)

摘要

Quantifying chemical compositions around nanovoids is a fundamental task for research and development of various materials. Atom probe tomography (APT) and scanning transmission electron microscopy (STEM) are currently the most suitable tools because of their ability to probe materials at the nanoscale. Both techniques have limitations, particularly APT, because of insufficient understanding of void imaging. Here, we employ a correlative APT and STEM approach to investigate the APT imaging process and reveal that voids can lead to either an increase or a decrease in local atomic densities in the APT reconstruction. Simulated APT experiments demonstrate the local density variations near voids are controlled by the unique ring structures as voids open and the different evaporation fields of the surrounding atoms. We provide a general approach for quantifying chemical segregations near voids within an APT dataset, in which the composition can be directly determined with a higher accuracy than STEM-based techniques.

源语言英语
文章编号1022
期刊Nature Communications
11
1
DOI
出版状态已出版 - 1 12月 2020
已对外发布

指纹

探究 'Interpreting nanovoids in atom probe tomography data for accurate local compositional measurements' 的科研主题。它们共同构成独一无二的指纹。

引用此

Wang, X., Hatzoglou, C., Sneed, B., Fan, Z., Guo, W., Jin, K., Chen, D., Bei, H., Wang, Y., Weber, W. J., Zhang, Y., Gault, B., More, K. L., Vurpillot, F., & Poplawsky, J. D. (2020). Interpreting nanovoids in atom probe tomography data for accurate local compositional measurements. Nature Communications, 11(1), 文章 1022. https://doi.org/10.1038/s41467-020-14832-w