Put Big Data in Your Physics Toolbox; APS-AIP Industrial Physics Forum
INVITED · P32
Presentations
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Improving Electron Microscopy with Artificial Intelligence and Big Data
COFFEE_KLATCH · Invited
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Presenters
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Eric Stach
Department of Materials Science and Engineeering, Univ of Pennsylvania
Authors
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Eric Stach
Department of Materials Science and Engineeering, Univ of Pennsylvania
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Benji Maruyama
U.S. Air Force Research Laboratory
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Quantum Computing at D-Wave
Invited
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Authors
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Alexei Kojevnikov
Cold Atom Lab Jet Propulsion Laboratory NASA, Caltech, Synopsis, Inc., Institute for Defense Analyses, American Physical Society, D-Wave, Oak Ridge National Laboratory, European Physical Society, International Centre for Theoretical Physics, Netflix, Department of Physics and Astronomy, Rice University, Syracuse University, Enventys Partners, Fordham University, University of British Columbia
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Polymer Discovery Using Big Data and Analytics
Invited
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Presenters
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Jed Pitera
IBM Research - Almaden
Authors
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Jed Pitera
IBM Research - Almaden
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Combinatorial Experimentation and Machine Learning for Materials Discovery
Invited
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Presenters
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Ichiro Takeuchi
Materials Science and Engineering, University of Maryland, University of Maryland, Univ of Maryland-College Park, Materials Science and Engineering, Univ of Maryland
Authors
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Ichiro Takeuchi
Materials Science and Engineering, University of Maryland, University of Maryland, Univ of Maryland-College Park, Materials Science and Engineering, Univ of Maryland
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Making Big Data Work for Physicists
COFFEE_KLATCH · Invited
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Authors
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Paul Kassebaum
Global Team Lead, Physics, MathWorks
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