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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]
+ Show Author Affiliations
  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. doi:10.1021/acscombsci.7b00171.
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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
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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.
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@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}
}
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Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1021/acscombsci.7b00171
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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.
All figures and tables (5 total)
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Works referenced in this record:

Evaluation of the Current Status of the Combinatorial Approach for the Study of Phase Diagrams
journal, January 2012

  • Wong-Ng, W.
  • Journal of Research of the National Institute of Standards and Technology, Vol. 117, Issue 0
  • DOI: 10.6028/jres.117.018

On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets
journal, September 2014

  • Kusne, Aaron Gilad; Gao, Tieren; Mehta, Apurva
  • Scientific Reports, Vol. 4, Issue 1
  • DOI: 10.1038/srep06367

A Combinatorial Approach to Materials Discovery
journal, June 1995

Continuous mapping of structure–property relations in Fe1−xNix metallic alloys fabricated by combinatorial synthesis
journal, July 2001

Identification of amorphous phases in the Fe–Ni–Co ternary alloy system using continuous phase diagram material chips
journal, March 2006

Investigation of the Thin-Film Phase Diagram of the Cr-Ni-Re System by High-Throughput Experimentation: Investigation of the Thin-Film Phase Diagram of the Cr-Ni-Re System
journal, December 2013

  • Janghorban, Amin; Pfetzing-Micklich, Janine; Frenzel, Jan
  • Advanced Engineering Materials, Vol. 16, Issue 5
  • DOI: 10.1002/adem.201300430
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    • Yuan, Jie; Stanev, Valentin; Gao, Chen
    • Superconductor Science and Technology, Vol. 32, Issue 12
    • DOI: 10.1088/1361-6668/ab51b1
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      Figures / Tables found in this record:

      Table 1 (p. 11)table
      Fig. 1 (p. 12)figure
      Fig. 2 (p. 13)figure
      Fig. 3 (p. 14)figure
      Fig. 4 (p. 15)figure
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