Machine Learning and Data in Polymer Physics
INVITED · B01 · ID: 381951
Presentations
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Recent Advances on AI for Polymer Design
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Presenters
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Juan De Pablo
University of Chicago, Molecular Engineering, University of Chicago, Institute for Molecular Engineering, University of Chicago, The Pritzker School of Molecular Engineering, University of Chicago
Authors
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Juan De Pablo
University of Chicago, Molecular Engineering, University of Chicago, Institute for Molecular Engineering, University of Chicago, The Pritzker School of Molecular Engineering, University of Chicago
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DATA CENTRIC NANOCOMPOSITES DESIGN VIA MIXED-VARIABLE BAYESIAN OPTIMIZATION
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Presenters
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Wei Chen
Northwestern University
Authors
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Wei Chen
Northwestern University
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Optimization of organic molecules and macromolecules using machine learning
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Presenters
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Yaroslava Yingling
North Carolina State University
Authors
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Yaroslava Yingling
North Carolina State University
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Molecular Simulations Integrated Machine Learning Study of Bottlebrush Polymers
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Presenters
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Sanket Deshmukh
Virginia Tech
Authors
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Soumil Joshi
Virginia Tech
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Sanket Deshmukh
Virginia Tech
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Polymer Informatics: Current Status & Critical Next Steps
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Presenters
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Rampi Ramprasad
Georgia Inst of Tech, Georgia Tech, Georgia Institute of Technology, School of Materials Science and Engineering, Georgia Institute of Technology
Authors
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Rampi Ramprasad
Georgia Inst of Tech, Georgia Tech, Georgia Institute of Technology, School of Materials Science and Engineering, Georgia Institute of Technology
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