Literature DB >> 17672748

Rapid structural mapping of ternary metallic alloy systems using the combinatorial approach and cluster analysis.

C J Long1, J Hattrick-Simpers, M Murakami, R C Srivastava, I Takeuchi, V L Karen, X Li.   

Abstract

We are developing a procedure for the quick identification of structural phases in thin film composition spread experiments which map large fractions of compositional phase diagrams of ternary metallic alloy systems. An in-house scanning x-ray microdiffractometer is used to obtain x-ray spectra from 273 different compositions on a single composition spread library. A cluster analysis software is then used to sort the spectra into groups in order to rapidly discover the distribution of phases on the ternary diagram. The most representative pattern of each group is then compared to a database of known structures to identify known phases. Using this method, the arduous analysis and classification of hundreds of spectra is reduced to a much shorter analysis of only a few spectra.

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Year:  2007        PMID: 17672748     DOI: 10.1063/1.2755487

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  7 in total

1.  High energy x-ray diffraction/x-ray fluorescence spectroscopy for high-throughput analysis of composition spread thin films.

Authors:  John M Gregoire; Darren Dale; Alexander Kazimirov; Francis J DiSalvo; R Bruce van Dover
Journal:  Rev Sci Instrum       Date:  2009-12       Impact factor: 1.523

2.  Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics.

Authors:  Rama K Vasudevan; Kamal Choudhary; Apurva Mehta; Ryan Smith; Gilad Kusne; Francesca Tavazza; Lukas Vlcek; Maxim Ziatdinov; Sergei V Kalinin; Jason Hattrick-Simpers
Journal:  MRS Commun       Date:  2019       Impact factor: 2.566

3.  Cements in the 21st Century: Challenges, Perspectives, and Opportunities.

Authors:  Joseph J Biernacki; Jeffrey W Bullard; Gaurav Sant; Nemkumar Banthia; Kevin Brown; Fredrik P Glasser; Scott Jones; Tyler Ley; Richard Livingston; Luc Nicoleau; Jan Olek; Florence Sanchez; Rouzbeh Shahsavari; Paul E Stutzman; Konstantine Sobolev; Tracie Prater
Journal:  J Am Ceram Soc       Date:  2017-05-22       Impact factor: 3.784

4.  Evaluation of the Current Status of the Combinatorial Approach for the Study of Phase Diagrams.

Authors:  W Wong-Ng
Journal:  J Res Natl Inst Stand Technol       Date:  2012-12-21

5.  Structure motif-centric learning framework for inorganic crystalline systems.

Authors:  Huta R Banjade; Sandro Hauri; Shanshan Zhang; Francesco Ricci; Weiyi Gong; Geoffroy Hautier; Slobodan Vucetic; Qimin Yan
Journal:  Sci Adv       Date:  2021-04-21       Impact factor: 14.136

6.  On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets.

Authors:  Aaron Gilad Kusne; Tieren Gao; Apurva Mehta; Liqin Ke; Manh Cuong Nguyen; Kai-Ming Ho; Vladimir Antropov; Cai-Zhuang Wang; Matthew J Kramer; Christian Long; Ichiro Takeuchi
Journal:  Sci Rep       Date:  2014-09-15       Impact factor: 4.379

7.  Unsupervised discovery of solid-state lithium ion conductors.

Authors:  Ying Zhang; Xingfeng He; Zhiqian Chen; Qiang Bai; Adelaide M Nolan; Charles A Roberts; Debasish Banerjee; Tomoya Matsunaga; Yifei Mo; Chen Ling
Journal:  Nat Commun       Date:  2019-11-20       Impact factor: 14.919

  7 in total

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