Machine Learning and Data in Polymer Physics
INVITED · B68 · ID: 355762
Presentations
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Autonomous X-ray Scattering
Invited
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Presenters
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Kevin Yager
- Brookhaven National Laboratory
- Center for Functional Nanomaterials, Brookhaven National Laboratory
Authors
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Kevin Yager
- Brookhaven National Laboratory
- Center for Functional Nanomaterials, Brookhaven National Laboratory
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Masafumi Fukuto
- Brookhaven National Laboratory
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Ruipeng Li
- Brookhaven National Laboratory
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Gregory Doerk
- Brookhaven National Laboratory
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Pawel W Majewski
- University of Warsaw
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Marcus Noack
- CAMERA, Lawrence Berkeley National Laboratory
- Lawrence Berkeley National Laboratory
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Molecular Simulations Integrated Machine Learning Study of Bottlebrush Polymers
Invited
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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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Samrendra Singh
- Virginia Tech
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Sanket Deshmukh
- Virginia Tech
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A Transfer Learning Framework for Improving Property Prediction, Interpretability, and Chemical Discovery from Scarce Datasets
Invited
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Presenters
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Brett Savoie
- Purdue Univ
Authors
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Brett Savoie
- Purdue Univ
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Optimization of organic molecules and macromolecules using machine learning
Invited
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Presenters
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Yaroslava Yingling
- North Carolina State University
- Materials Science and Engineering, North Carolina State University
Authors
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Yaroslava Yingling
- North Carolina State University
- Materials Science and Engineering, North Carolina State University
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Closed-loop, sequential learning for polymer systems
Invited
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Presenters
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Kristofer Reyes
- State Univ of NY - Buffalo
Authors
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Kristofer Reyes
- State Univ of NY - Buffalo
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