Machine Learning and Data in Polymer Physics
INVITED · S42 · ID: 22314
Presentations
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Autonomous robotic platform (PolyBot) for conjugated polymer processing
ORAL · Invited
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Publication: https://www.anl.gov/cnm/polybot
Presenters
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Jie Xu
- Argonne National Laboratory
Authors
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Jie Xu
- Argonne National Laboratory
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New Informatics Tools to Help Make Polymer Data Bigger
ORAL · Invited
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Presenters
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Bradley D Olsen
- Massachusetts Institute of Technology MI
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
Authors
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Bradley D Olsen
- Massachusetts Institute of Technology MI
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
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MLExchange, bringing machine learning to the beamline
ORAL · Invited
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Presenters
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Alexander Hexemer
- Lawrence Berkeley National Laboratory
Authors
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Alexander Hexemer
- Lawrence Berkeley National Laboratory
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Improving prediction and understanding with theory aware machine learning
ORAL · Invited
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Presenters
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Debra J Audus
- NIST
- National Institute of Standards and Tech
- National Institute of Standards and Technology
Authors
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Debra J Audus
- NIST
- National Institute of Standards and Tech
- National Institute of Standards and Technology
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Data driven approaches to quantifying charge transport in semiconducting systems
ORAL · Invited
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Presenters
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Baskar Ganapathysubramanian
- Iowa State University
Authors
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Baskar Ganapathysubramanian
- Iowa State University
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