Bulletin of the American Physical Society

APS March Meeting 2021

Volume 66, Number 1

Monday–Friday, March 15–19, 2021; Virtual; Time Zone: Central Daylight Time, USA

Session Index

Session E03: Machine Learning and Data in Polymer Physics I

Focus Live

Show Abstracts

Sponsoring Units: DPOLY DBIO DCOMP GSNP
Chair: Debra Audus, National Institute of Standards and Technology

Tuesday, March 16, 2021 8:00AM - 8:12AM Live		E03.00001: Topology-Driven Completion of Chemical Data Dmitry Zubarev, Petar Ristoski
Tuesday, March 16, 2021 8:12AM - 8:24AM Live		E03.00002: Chemically informed fragment choices to improve the property prediction for polymer systems Amanda Dumi, Daniel S. Lambrecht
Tuesday, March 16, 2021 8:24AM - 8:36AM Live		E03.00003: A Machine Learning Approach to the Design of Polymer Electrolyte Membranes Kuan-Hsuan Shen, Huan Tran, Chiho Kim, Rampi Ramprasad
Tuesday, March 16, 2021 8:36AM - 8:48AM Live		E03.00004: Identifying Accelerated Ageing Pathways for Cross-Linked Polyethylene Pipes Through Machine Learning Joseph Damico, Melanie Hiles, Michael Grossutti, Callum Wareham, John Dutcher
Tuesday, March 16, 2021 8:48AM - 9:00AM Live		E03.00005: Dielectric properties of polymer nanocomposite interphases from electrostatic force microscopy using machine learning Praveen Kumar Gupta, Linda Feist Schadler, Ravishankar Sundararaman
Tuesday, March 16, 2021 9:00AM - 9:12AM Live		E03.00006: Secondary structure of very large RNAs via high-throughput oligonucleotide-binding microarrays Ofer Kimchi, Rees F Garmann, Timothy Kaiwen Chiang, Megan C Engel, Vinothan N Manoharan, Michael Brenner
Tuesday, March 16, 2021 9:12AM - 9:24AM Live		E03.00007: Reading-out DNA translocation experiments with (un)supervised Machine Learning Ángel Díaz Carral, Magnus Ostertag, Aleksandra Radenovic, Maria Fyta
Tuesday, March 16, 2021 9:24AM - 9:36AM Live		E03.00008: Understanding sequence-dependent DNA dynamics through self-associative machine learning and temperature-jump spectroscopy Mike Jones, Andrei Tokmakoff, Andrew Ferguson, Brennan Ashwood
Tuesday, March 16, 2021 9:36AM - 9:48AM Live		E03.00009: Machine-guided template-based polymer retrosynthesis planning Lihua Chen, Jordan Lightstone, Rampi Ramprasad
Tuesday, March 16, 2021 9:48AM - 10:00AM Live		E03.00010: Active Learning of Coarse Grained Models for Free Energy Surfaces Blake Duschatko, Jonathan Vandermause, Nicola Molinari, Boris Kozinsky
Tuesday, March 16, 2021 10:00AM - 10:12AM Live		E03.00011: An Autonomous Liquid-Handling Platform for ML-Driven Industrial Formulation Discovery Peter Beaucage, Tyler Martin
Tuesday, March 16, 2021 10:12AM - 10:24AM Live		E03.00012: Hybrid machine learning/materials science modeling for semi-crystalline polymer during film fabrication process Jian Yang, Teresa Karjala, Jonathan Mendenhall, Valeriy Ginzburg, Rajen Patel, Fawzi Hamad, Elva Lugo, Pavan Valavala

About APS

The American Physical Society (APS) is a non-profit membership organization working to advance the knowledge of physics.

Headquarters 1 Physics Ellipse, College Park, MD 20740-3844 (301) 209-3200
Editorial Office 100 Motor Pkwy, Suite 110, Hauppauge, NY 11788 (631) 591-4000
Office of Public Affairs 529 14th St NW, Suite 1050, Washington, D.C. 20045-2001 (202) 662-8700

Bulletin of the American Physical Society

APS March Meeting 2021

Volume 66, Number 1

Monday–Friday, March 15–19, 2021; Virtual; Time Zone: Central Daylight Time, USA

Session Index

Session E03: Machine Learning and Data in Polymer Physics I

Follow Us

Engage

My APS

Information for

About APS