Bulletin of the American Physical Society

2023 APS March Meeting

Volume 68, Number 3

Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time

Session Index

Session S03: Machine Learning, Autonomous Experiments, and Big Data in Polymer Physics I

Focus Session

Show Abstracts

Sponsoring Units: DPOLY
Chair: Peter Beaucage, National Institute of Standards and Technology
Room: Room 126

Thursday, March 9, 2023 8:00AM - 8:36AM		S03.00001: Cold, warm, warmer, hot! Impact of distance metrics on autonomous experimentation. Invited Speaker: Lilo Pozzo
Thursday, March 9, 2023 8:36AM - 8:48AM		S03.00002: Interpreting Neutron Reflectivity from Thin Films of Block Copolymers using Neural Networks Miguel Fuentes-Cabrera, Dustin Eby, Mathieu Doucet, Rajeev Kumar
Thursday, March 9, 2023 8:48AM - 9:00AM		S03.00003: The Autonomous Formulation Laboratory: Macromolecular Formulation Discovery with Multimodal Measurements Peter Beaucage, Tyler B Martin
Thursday, March 9, 2023 9:00AM - 9:12AM		S03.00004: Combining Flory-Huggins Theory and Machine Learning for Improved Polymer Solution Phase Behavior Predictions Jeffrey G Ethier, Debra J Audus, Devin C Ryan, Richard A Vaia
Thursday, March 9, 2023 9:12AM - 9:24AM		S03.00005: Application of Deep Learning to Polymer Solutions Ryan Sayko, Michael S Jacobs, Marissa Dominijanni, Andrey V Dobrynin
Thursday, March 9, 2023 9:24AM - 9:36AM		S03.00006: Sequence, phase behavior and dynamics in protein condensates: an eternal triangle revealed by machine learning Michael A Webb
Thursday, March 9, 2023 9:36AM - 9:48AM		S03.00007: Quantitative high-throughput measurement of bulk mechanical properties using commonly available equipment Muzhou Wang, Justin Griffith, Yusu Chen, Qingsong Liu, Qifeng Wang, Jeffrey J Richards, Danielle Tullman-Ercek, Kenneth R Shull
Thursday, March 9, 2023 9:48AM - 10:00AM		S03.00008: Predicting microstructure of a polymer nanocomposite using machine learning Tarak K Patra, Kumar Ayush
Thursday, March 9, 2023 10:00AM - 10:12AM		S03.00009: Fast and Accurate Prediction of Polymer Viscoelasticity via Physics-Based Ensemble Learning Umi Yamamoto, Kenji Yoshimoto
Thursday, March 9, 2023 10:12AM - 10:24AM		S03.00010: Predicting the Glass Transition of Complex Polymers via Integration of Machine Learning, Theory and Molecular Modeling Wenjie Xia
Thursday, March 9, 2023 10:24AM - 10:36AM		S03.00011: Machine learning-assisted discovery of high-performance polymer membranes for gas separation Jiaxin Xu, Agboola Suleiman, Gang Liu, Meng Jiang, Ruilan Guo, Tengfei Luo

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Bulletin of the American Physical Society

2023 APS March Meeting

Volume 68, Number 3

Las Vegas, Nevada (March 5-10)Virtual (March 20-22); Time Zone: Pacific Time

Session Index

Session S03: Machine Learning, Autonomous Experiments, and Big Data in Polymer Physics I

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Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time