Literature DB >> 25343793

High-throughput synchrotron X-ray diffraction for combinatorial phase mapping.

J M Gregoire1, D G Van Campen2, C E Miller2, R J R Jones1, S K Suram1, A Mehta2.   

Abstract

Discovery of new materials drives the deployment of new technologies. Complex technological requirements demand precisely tailored material functionalities, and materials scientists are driven to search for these new materials in compositionally complex and often non-equilibrium spaces containing three, four or more elements. The phase behavior of these high-order composition spaces is mostly unknown and unexplored. High-throughput methods can offer strategies for efficiently searching complex and multi-dimensional material genomes for these much needed new materials and can also suggest a processing pathway for synthesizing them. However, high-throughput structural characterization is still relatively under-developed for rapid material discovery. Here, a synchrotron X-ray diffraction and fluorescence experiment for rapid measurement of both X-ray powder patterns and compositions for an array of samples in a material library is presented. The experiment is capable of measuring more than 5000 samples per day, as demonstrated by the acquisition of high-quality powder patterns in a bismuth-vanadium-iron oxide composition library. A detailed discussion of the scattering geometry and its ability to be tailored for different material systems is provided, with specific attention given to the characterization of fiber textured thin films. The described prototype facility is capable of meeting the structural characterization needs for the first generation of high-throughput material genomic searches.

Entities:  

Keywords:  X-ray diffraction; X-ray fluorescence; combinatorial materials science; high-throughput phase mapping

Year:  2014        PMID: 25343793     DOI: 10.1107/S1600577514016488

Source DB:  PubMed          Journal:  J Synchrotron Radiat        ISSN: 0909-0495            Impact factor:   2.616


  4 in total

1.  A High-Throughput Structural and Electrochemical Study of Metallic Glass Formation in Ni-Ti-Al.

Authors:  Howie Joress; Brian L DeCost; Suchismita Sarker; Trevor M Braun; Sidra Jilani; Ryan Smith; Logan Ward; Kevin J Laws; Apurva Mehta; Jason R Hattrick-Simpers
Journal:  ACS Comb Sci       Date:  2020-06-24       Impact factor: 3.784

2.  Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach.

Authors:  Yuta Suzuki; Hideitsu Hino; Takafumi Hawai; Kotaro Saito; Masato Kotsugi; Kanta Ono
Journal:  Sci Rep       Date:  2020-12-11       Impact factor: 4.379

3.  Exploring the First High-Entropy Thin Film Libraries: Composition Spread-Controlled Crystalline Structure.

Authors:  Thi Xuyen Nguyen; Yen-Hsun Su; Jason Hattrick-Simpers; Howie Joress; Takahiro Nagata; Kao-Shuo Chang; Suchismita Sarker; Apurva Mehta; Jyh-Ming Ting
Journal:  ACS Comb Sci       Date:  2020-11-04       Impact factor: 3.784

Review 4.  Progress and prospects for accelerating materials science with automated and autonomous workflows.

Authors:  Helge S Stein; John M Gregoire
Journal:  Chem Sci       Date:  2019-09-20       Impact factor: 9.825

  4 in total

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