2024 APS March Meeting
Monday–Friday, March 4–8, 2024;
Minneapolis & Virtual
Session Index
Session A26: Applied Machine Learning for Design and Discovery of Polymers
Focus Session
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Sponsoring Units: DPOLY
Chair: Yasemin Basdogan, University of Rochester
Room: 101G
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Monday, March 4, 2024
8:00AM - 8:36AM
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A26.00001: Data-driven Strategies to Navigate Sequence, Composition, and Architectural Complexity in Polymer Physics
Invited Speaker:
Michael A Webb
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Monday, March 4, 2024
8:36AM - 8:48AM
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A26.00002: Abstract Withdrawn
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Monday, March 4, 2024
8:48AM - 9:00AM
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A26.00003: Phase Diagram Predictions of Various Polymer Macromolecules in Solution Using Transfer Learning
Jeffrey G Ethier, Devin C Ryan, Richard A Vaia
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Monday, March 4, 2024
9:00AM - 9:12AM
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A26.00004: Machine-learned closure for polymer liquid state theory
Thomas E Gartner
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Monday, March 4, 2024
9:12AM - 9:24AM
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A26.00005: Interpretable Machine Learning of Phase Separated Microstructures in Polyurethane Block Copolymers
Dominic M Robe, Adrian Menzel, Andrew Phillips, Peter Daivis, Sarah Erfani, Ellie Hajizadeh
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Monday, March 4, 2024
9:24AM - 10:00AM
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A26.00006: Machine Learning-accelerated Molecular Design of Innovative Polymers: Advanced manufacturing, extreme conditions, and sustainable energy solutions
Invited Speaker:
Ying Li
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Monday, March 4, 2024
10:00AM - 10:12AM
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A26.00007: Predicting aggregate morphology for varying composition and sequences in sequence-defined macromolecules
Debjyoti Bhattacharya, Wesley F Reinhart
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Monday, March 4, 2024
10:12AM - 10:24AM
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A26.00008: Accelerating Copolymer Design via Machine Learning
Tarak K Patra
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Monday, March 4, 2024
10:24AM - 10:36AM
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A26.00009: Predicting the Glass Transition of Complex Polymers via Integration of Machine Learning, Molecular Modeling and Experiments
Wenjie Xia
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