Machine Learning-Accelerated Materials Innovation
INVITED · MAR-U55 · ID: MAR-U55
Presentations
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Accelerating Discovery and Design for Thin Film Polymer Self-Assembly through Machine Learning
Invited-In-person · Invited
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Publication: Gregory S. Doerk et al. ,Autonomous discovery of emergent morphologies in directed self-assembly of block copolymer blends.Sci. Adv.9,eadd3687(2023).DOI:10.1126/sciadv.add3687
Presenters
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Gregory Doerk
- Brookhaven National Laboratory (BNL)
Authors
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Gregory Doerk
- Brookhaven National Laboratory (BNL)
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Combinatorial Polymer Design: From Flow-Driven Structure to Structure-Driven Flow
Invited-In-person · Invited
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Publication: https://doi.org/10.1039/D5SM00729A
https://doi.org/10.26434/chemrxiv-2025-td5v6Presenters
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Michael Webb
- Princeton University
Authors
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Michael Webb
- Princeton University
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Shengli Jiang
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Matthew Chertok
- Princeton University
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Howard Stone
- Princeton University
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AI-assisted design of functional polymers for a sustainable world
Invited-In-person · Invited
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Presenters
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Wiliam Schertzer
- Georgia Institute of Technology
Authors
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Wiliam Schertzer
- Georgia Institute of Technology
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Rampi Ramprasad
- Georgia Institute of Technology
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Tangible Successes from Polymer Informatics
Invited-In-person · Invited
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Presenters
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Kenneth Kroenlein
- Citrine Informatics
Authors
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Kenneth Kroenlein
- Citrine Informatics
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Advancing Polymer Innovation with Polybot: An AI-Guided Robotic Laboratory
Invited-In-person · Invited
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Publication: 1. doi.org/10.1021/jacs.5c12241
2. doi.org/10.1038/s41467-024-55655-3
3. doi.org/10.48550/arXiv.2504.13344Presenters
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Jie Xu
- University of Chicago
Authors
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Jie Xu
- University of Chicago
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