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Identifying structural flow defects in disordered solids using machine-learning methods.
Cubuk, E D; Schoenholz, S S; Rieser, J M; Malone, B D; Rottler, J; Durian, D J; Kaxiras, E; Liu, A J.
Affiliation
  • Cubuk ED; Department of Physics and School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA.
  • Schoenholz SS; Department of Physics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
  • Rieser JM; Department of Physics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
  • Malone BD; Department of Physics and School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA.
  • Rottler J; Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia V6T1Z4, Canada.
  • Durian DJ; Department of Physics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
  • Kaxiras E; Department of Physics and School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA.
  • Liu AJ; Department of Physics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Phys Rev Lett ; 114(10): 108001, 2015 Mar 13.
Article in En | MEDLINE | ID: mdl-25815967
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Database: MEDLINE Type of study: Prognostic_studies Language: En Year: 2015 Type: Article
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Database: MEDLINE Type of study: Prognostic_studies Language: En Year: 2015 Type: Article