Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments

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Science Advances  13 Apr 2018:
Vol. 4, no. 4, eaaq1566
DOI: 10.1126/sciadv.aaq1566

Article Information

vol. 4 no. 4

Online ISSN: 
  • Received for publication October 7, 2017
  • Accepted for publication February 28, 2018

Author Information

  1. Fang Ren1,*,
  2. Logan Ward2,3,*,
  3. Travis Williams4,
  4. Kevin J. Laws5,
  5. Christopher Wolverton2,
  6. Jason Hattrick-Simpers6 and
  7. Apurva Mehta1,
  1. 1Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.
  2. 2Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.
  3. 3Computation Institute, University of Chicago, Chicago, IL 60637, USA.
  4. 4College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
  5. 5School of Materials Science and Engineering, UNSW, Sydney, New South Wales 2052, Australia.
  6. 6Materials for Energy and Sustainable Development Group, National Institute of Standards and Technology, MS 8520, Gaithersburg, MD 20899, USA.
  1. Corresponding author. Email: mehta{at}
    • * These authors contributed equally to this work.


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