Machine Learning and Data in Polymer Physics I
ORAL · E03 · ID: 380718
Presentations
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Topology-Driven Completion of Chemical Data
ORAL
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Presenters
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Dmitry Zubarev
- IBM Research - Almaden
Authors
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Dmitry Zubarev
- IBM Research - Almaden
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Petar Ristoski
- IBM Research - Almaden
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Chemically informed fragment choices to improve the property prediction for polymer systems
ORAL
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Presenters
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Amanda Dumi
- Chemistry, University of Pittsburgh
Authors
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Amanda Dumi
- Chemistry, University of Pittsburgh
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Daniel S. Lambrecht
- Chemistry & Physics, Florida Gulf Coast University
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A Machine Learning Approach to the Design of Polymer Electrolyte Membranes
ORAL
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Presenters
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Kuan-Hsuan Shen
- School of Materials Science and Engineering, Georgia Institute of Technology
- Georgia Institute of Technology
Authors
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Kuan-Hsuan Shen
- School of Materials Science and Engineering, Georgia Institute of Technology
- Georgia Institute of Technology
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Huan Tran
- School of Materials Science and Engineering, Georgia Institute of Technology
- Georgia Inst of Tech
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Chiho Kim
- Georgia Institute of Technology
- School of Materials Science and Engineering, Georgia Institute of Technology
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Rampi Ramprasad
- Georgia Inst of Tech
- Georgia Tech
- Georgia Institute of Technology
- School of Materials Science and Engineering, Georgia Institute of Technology
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Identifying Accelerated Ageing Pathways for Cross-Linked Polyethylene Pipes Through Machine Learning
ORAL
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Presenters
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Joseph Damico
- Univ of Guelph
Authors
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Joseph Damico
- Univ of Guelph
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Melanie Hiles
- Univ of Guelph
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Michael Grossutti
- Univ of Guelph
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Callum Wareham
- Univ of Guelph
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John Dutcher
- Univ of Guelph
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Dielectric properties of polymer nanocomposite interphases from electrostatic force microscopy using machine learning
ORAL
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Presenters
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Praveen Kumar Gupta
- Material Science and Engineering, Rensselaer Polytechnic Institute
Authors
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Praveen Kumar Gupta
- Material Science and Engineering, Rensselaer Polytechnic Institute
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Linda Feist Schadler
- University of Vermont
- College of Engineering and Mathematical Sciences, University of Vermont
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Ravishankar Sundararaman
- Department of Materials Science and Engineering, Rensselaer Polytechnic Institute
- RENSSELAER POLYTECHNIC INSTITUTE
- Rensselaer Polytechnic Institute
- Material Science and Engineering, Rensselaer Polytechnic Institute
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Secondary structure of very large RNAs via high-throughput oligonucleotide-binding microarrays
ORAL
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Presenters
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Ofer Kimchi
- Harvard University
Authors
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Ofer Kimchi
- Harvard University
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Rees F Garmann
- Harvard University
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Timothy Kaiwen Chiang
- Harvard University
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Megan C Engel
- Harvard University
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Vinothan N Manoharan
- Harvard University
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Michael Brenner
- Harvard University
- School of Engineering and Applied Sciences, Harvard University
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Reading-out DNA translocation experiments with (un)supervised Machine Learning
ORAL
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Presenters
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Ángel Díaz Carral
- University of Stuttgart
Authors
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Ángel Díaz Carral
- University of Stuttgart
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Magnus Ostertag
- University of Stuttgart
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Aleksandra Radenovic
- École Polytechnique Fédérale de Lausanne
- Ecole Polytechnique Federale de Lausanne
- Laboratory of Nanoscale Biology, School of Engineering, Institute of Bioengineering, EPFL
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Maria Fyta
- University of Stuttgart
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Understanding sequence-dependent DNA dynamics through self-associative machine learning and temperature-jump spectroscopy
ORAL
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Presenters
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Mike Jones
- University of Chicago
Authors
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Mike Jones
- University of Chicago
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Andrei Tokmakoff
- University of Chicago
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Andrew Ferguson
- University of Chicago
- Pritzker School of Molecular Engineering, University of Chicago
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Brennan Ashwood
- University of Chicago
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Machine-guided template-based polymer retrosynthesis planning
ORAL
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Presenters
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Lihua Chen
- Georgia Inst of Tech
- Georgia Institute of Technology
Authors
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Lihua Chen
- Georgia Inst of Tech
- Georgia Institute of Technology
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Jordan Lightstone
- Georgia Institute of Technology
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Rampi Ramprasad
- Georgia Inst of Tech
- Georgia Tech
- Georgia Institute of Technology
- School of Materials Science and Engineering, Georgia Institute of Technology
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Active Learning of Coarse Grained Models for Free Energy Surfaces
ORAL
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Presenters
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Blake Duschatko
- Harvard University
Authors
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Blake Duschatko
- Harvard University
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Jonathan Vandermause
- Physics, Harvard University
- Harvard University
- John A. Paulson School of Engineering and Applied Sciences, Harvard University
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Nicola Molinari
- Harvard University
- John A. Paulson School of Engineering and Applied Sciences, Harvard University
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Boris Kozinsky
- Harvard University
- John A. Paulson School of Engineering and Applied Sciences, Harvard University
- School of Engineering & Applied Sciences, Harvard University
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An Autonomous Liquid-Handling Platform for ML-Driven Industrial Formulation Discovery
ORAL
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Presenters
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Tyler Martin
- National Institute of Standards and Technology
Authors
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Peter Beaucage
- National Institute of Standards and Technology
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Tyler Martin
- National Institute of Standards and Technology
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Hybrid machine learning/materials science modeling for semi-crystalline polymer during film fabrication process
ORAL
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Presenters
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Jian Yang
- The Dow Chemical Company
Authors
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Jian Yang
- The Dow Chemical Company
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Teresa Karjala
- The Dow Chemical Company
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Jonathan Mendenhall
- The Dow Chemical Company
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Valeriy Ginzburg
- Dow, Inc.
- Dow Inc. (Retired)
- The Dow Chemical Company
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Rajen Patel
- The Dow Chemical Company
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Fawzi Hamad
- The Dow Chemical Company
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Elva Lugo
- The Dow Chemical Company
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Pavan Valavala
- The Dow Chemical Company
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