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

  • Fang Ren
    Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.
  • Logan Ward
    Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.
  • Travis Williams
    College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
  • Kevin J. Laws
    School of Materials Science and Engineering, UNSW, Sydney, New South Wales 2052, Australia.
  • Christopher Wolverton
    Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.
  • Jason Hattrick-Simpers
    Materials for Energy and Sustainable Development Group, National Institute of Standards and Technology, MS 8520, Gaithersburg, MD 20899, USA.
  • Apurva Mehta
    Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.

Description

<jats:p>Coupling artificial intelligence with high-throughput experimentation accelerates discovery of amorphous alloys.</jats:p>

Journal

  • Science Advances

    Science Advances 4 (4), eaaq1566-, 2018-04-06

    American Association for the Advancement of Science (AAAS)

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