Big Data, Polymers, and Soft Matter: New Developments in Machine Learning, Data Mining and High-Throughput Studies
INVITED · A51 ·
Presentations
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Machined-learned softness as a structural order parameter for understanding glassy systems
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Presenters
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Andrea Liu
- University of Pennsylvania
- Physics, University of Pennsylvania
Authors
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Andrea Liu
- University of Pennsylvania
- Physics, University of Pennsylvania
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Accelerated Discovery in Polymer Materials Domain: Knowledge Extraction and Representation
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Presenters
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Dmitry Zubarev
- IBM Almaden Research Center
Authors
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Dmitry Zubarev
- IBM Almaden Research Center
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Exploring Free Energy Landscapes with Neural Networks
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Presenters
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Jonathan Whitmer
- University of Notre Dame
- Department of Chemical and Biomolecular Engineering, University of Notre Dame
- Chemical and Biomolecular Engineering, University of Notre Dame
Authors
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Jonathan Whitmer
- University of Notre Dame
- Department of Chemical and Biomolecular Engineering, University of Notre Dame
- Chemical and Biomolecular Engineering, University of Notre Dame
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Text and Data Mining for Material Synthesis
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Presenters
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Elsa Olivetti
- Massachusetts Institute of Technology
Authors
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Elsa Olivetti
- Massachusetts Institute of Technology
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Edward Kim
- Massachusetts Institute of Technology
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Data-driven learning of collective variables to understand and accelerate biomolecular folding
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Presenters
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Andrew L Ferguson
- Institute for Molecular Engineering, University of Chicago
- The Institute for Molecular Engineering, University of Chicago
Authors
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Andrew L Ferguson
- Institute for Molecular Engineering, University of Chicago
- The Institute for Molecular Engineering, University of Chicago
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