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

Journal: Science Advances

Published: 2018-04-01

DOI: 10.1126/sciadv.aaq1566

Affiliations: 6

Authors: 7

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Institutions FC
Stanford Synchrotron Radiation Lightsource (SSRL), United States of America (USA) 0.29
Department of Materials Science and Engineering, NU, United States of America (USA) 0.21
College of Engineering and Computing, SC, United States of America (USA) 0.14
School of Materials Science and Engineering, UNSW, Australia 0.14
Materials Measurement Science Division (MMSD), NIST, United States of America (USA) 0.14
Computation Institute (CI), United States of America (USA) 0.07

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