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Title: Rapid Construction of Fe–Co–Ni Composition-Phase Map by Combinatorial Materials Chip Approach

Abstract

100 nm thick Fe-Co-Ni materials chips were prepared and isothermally annealed at 500, 600 and 700oC, respectively. Pixel-by-pixel composition and structural mapping was performed by micro-beam X-ray at synchrotron light source. Diffraction images were recorded at a rate of 1 pattern/s. The XRD patterns were automatically processed, phase-identified and categorized by hierarchical clustering algorithm to construct the composition-phase map. Furthermore, the resulting maps are consistent with corresponding isothermal sections reported in the ASM Alloy Phase Diagram DatabaseTM, verifying the effectiveness of the present approach in phase diagram construction.

Authors:
 [1];  [1];  [1]; ORCiD logo [2];  [2];  [3]; ORCiD logo [4];  [1]; ORCiD logo [1];  [5]
  1. Shanghai Jiao Tong Univ., Shanghai (China)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
  3. China Building Academy, Beijing (China)
  4. Univ. of Maryland, College Park, MD (United States)
  5. Shanghai Jiao Tong Univ., Shanghai (China); China Building Academy, Beijing (China)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Key Research and Development Program of China; USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division
OSTI Identifier:
1481174
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
ACS Combinatorial Science
Additional Journal Information:
Journal Volume: 20; Journal Issue: 3; Journal ID: ISSN 2156-8952
Publisher:
American Chemical Society (ACS)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Fe−Co−Ni; X-ray diffraction; combinatorial materials chip; hierarchical clustering; phase diagram

Citation Formats

Xing, Hui, Zhao, Bingbing, Wang, Yujie, Zhang, Xiaoyi, Ren, Yang, Yan, Ningning, Gao, Tieren, Li, Jindong, Zhang, Lanting, and Wang, Hong. Rapid Construction of Fe–Co–Ni Composition-Phase Map by Combinatorial Materials Chip Approach. United States: N. p., 2018. Web. https://doi.org/10.1021/acscombsci.7b00171.
Xing, Hui, Zhao, Bingbing, Wang, Yujie, Zhang, Xiaoyi, Ren, Yang, Yan, Ningning, Gao, Tieren, Li, Jindong, Zhang, Lanting, & Wang, Hong. Rapid Construction of Fe–Co–Ni Composition-Phase Map by Combinatorial Materials Chip Approach. United States. https://doi.org/10.1021/acscombsci.7b00171
Xing, Hui, Zhao, Bingbing, Wang, Yujie, Zhang, Xiaoyi, Ren, Yang, Yan, Ningning, Gao, Tieren, Li, Jindong, Zhang, Lanting, and Wang, Hong. Tue . "Rapid Construction of Fe–Co–Ni Composition-Phase Map by Combinatorial Materials Chip Approach". United States. https://doi.org/10.1021/acscombsci.7b00171. https://www.osti.gov/servlets/purl/1481174.
@article{osti_1481174,
title = {Rapid Construction of Fe–Co–Ni Composition-Phase Map by Combinatorial Materials Chip Approach},
author = {Xing, Hui and Zhao, Bingbing and Wang, Yujie and Zhang, Xiaoyi and Ren, Yang and Yan, Ningning and Gao, Tieren and Li, Jindong and Zhang, Lanting and Wang, Hong},
abstractNote = {100 nm thick Fe-Co-Ni materials chips were prepared and isothermally annealed at 500, 600 and 700oC, respectively. Pixel-by-pixel composition and structural mapping was performed by micro-beam X-ray at synchrotron light source. Diffraction images were recorded at a rate of 1 pattern/s. The XRD patterns were automatically processed, phase-identified and categorized by hierarchical clustering algorithm to construct the composition-phase map. Furthermore, the resulting maps are consistent with corresponding isothermal sections reported in the ASM Alloy Phase Diagram DatabaseTM, verifying the effectiveness of the present approach in phase diagram construction.},
doi = {10.1021/acscombsci.7b00171},
journal = {ACS Combinatorial Science},
number = 3,
volume = 20,
place = {United States},
year = {2018},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
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Cited by: 4 works
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Figures / Tables:

Table 1 Table 1: Boolean variable table of peak positions and the corresponding similarity index D according to cosine metric. The last two columns are a result of automatic labelling.

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Works referenced in this record:

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    journal, December 2019


    Recent advances in high-throughput superconductivity research
    journal, November 2019

    • Yuan, Jie; Stanev, Valentin; Gao, Chen
    • Superconductor Science and Technology, Vol. 32, Issue 12
    • DOI: 10.1088/1361-6668/ab51b1

      Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.