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Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction.
Venderley, Jordan; Mallayya, Krishnanand; Matty, Michael; Krogstad, Matthew; Ruff, Jacob; Pleiss, Geoff; Kishore, Varsha; Mandrus, David; Phelan, Daniel; Poudel, Lekhanath; Wilson, Andrew Gordon; Weinberger, Kilian; Upreti, Puspa; Norman, Michael; Rosenkranz, Stephan; Osborn, Raymond; Kim, Eun-Ah.
Afiliação
  • Venderley J; Department of Physics, Cornell University, Ithaca, NY 14853.
  • Mallayya K; Department of Physics, Cornell University, Ithaca, NY 14853.
  • Matty M; Department of Physics, Cornell University, Ithaca, NY 14853.
  • Krogstad M; Materials Science Division, Argonne National Laboratory, Lemont, IL 60439.
  • Ruff J; Cornell High Energy Synchrotron Source, Cornell University, Ithaca, NY 14853.
  • Pleiss G; Department of Computer Science, Cornell University, Ithaca, NY 14853.
  • Kishore V; Department of Computer Science, Cornell University, Ithaca, NY 14853.
  • Mandrus D; Department of Materials Science and Engineering, University of Tennessee, Knoxville, TN 37996.
  • Phelan D; Materials Science Division, Argonne National Laboratory, Lemont, IL 60439.
  • Poudel L; Department of Materials Science and Engineering, University of Maryland, College Park, MD 20742.
  • Wilson AG; Center for Neutron Research, National Institute of Standard and Technology, Gaithersburg, MD 20899.
  • Weinberger K; Courant Institute of Mathematical Sciences, New York University, New York, NY 10012.
  • Upreti P; Department of Computer Science, Cornell University, Ithaca, NY 14853.
  • Norman M; Materials Science Division, Argonne National Laboratory, Lemont, IL 60439.
  • Rosenkranz S; Department of Physics, Northern Illinois University, DeKalb, IL 60115.
  • Osborn R; Materials Science Division, Argonne National Laboratory, Lemont, IL 60439.
  • Kim EA; Materials Science Division, Argonne National Laboratory, Lemont, IL 60439.
Proc Natl Acad Sci U S A ; 119(24): e2109665119, 2022 Jun 14.
Article em En | MEDLINE | ID: mdl-35679347
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article