Machine Learning and Data in Polymer Physics II

Presentations

• Machine Learning of Phase Transitions and Dynamical Crossovers in Polymers

  ORAL

  March 17, 2021, 8:00 AM – March 17, 2021, 8:12 AM

  Presenters

  • Tarak Patra

    • Indian Institute of Technology Madras

  Authors

  • Tarak Patra

    • Indian Institute of Technology Madras

  • Debjyoti Bhattacharya

    • Indian Institute of Technology Madras

  • Ashwin Bale

    • Birla Institute of Technology and Science Pilani-Hyderabad

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• Rheology-Informed Neural Networks (RhINNs) for direct and inverse complex fluid modeling

  ORAL

  March 17, 2021, 8:12 AM – March 17, 2021, 8:24 AM

  Presenters

  • Mohammadamin Mahmoudabadbozchelou

    • Northeastern University

  Authors

  • Mohammadamin Mahmoudabadbozchelou

    • Northeastern University

  • Safa Jamali

    • Northeastern University

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• Design of Polymers for Energy Storage Capacitors Using Machine Learning and Evolutionary Algorithms

  ORAL

  March 17, 2021, 8:24 AM – March 17, 2021, 8:36 AM

  Presenters

  • Joseph Kern

    • Georgia Inst of Tech

  Authors

  • Joseph Kern

    • Georgia Inst of Tech

  • Lihua Chen

    • Georgia Inst of Tech
    • Georgia Institute of Technology

  • Chiho Kim

    • Georgia Inst of Tech

  • 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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• Phase diagrams of polymer-containing liquid mixtures with a theory-embedded neural network

  ORAL

  March 17, 2021, 8:36 AM – March 17, 2021, 8:48 AM

  Presenters

  • Issei Nakamura

    • Michigan Technological University

  Authors

  • Issei Nakamura

    • Michigan Technological University

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• Neural Network Prediction of Polymer-Solvent Coexistence Curves

  ORAL

  March 17, 2021, 8:48 AM – March 17, 2021, 9:00 AM

  Presenters

  • Jeffrey Ethier

    • Air Force Research Lab - WPAFB

  Authors

  • Jeffrey Ethier

    • Air Force Research Lab - WPAFB

  • Rohan Casukhela

    • Ohio State University

  • Josh Latimer

    • Air Force Research Lab - WPAFB

  • Matthew Jacobsen

    • Air Force Research Lab - WPAFB

  • Richard Arthur Vaia

    • Air Force Research Lab - WPAFB

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• Prediction of Block Copolymer Phase Behavior Using Machine Learning

  ORAL

  March 17, 2021, 9:00 AM – March 17, 2021, 9:12 AM

  Presenters

  • Nathan Rebello

    • Massachusetts Institute of Technology MIT
    • Department of Chemical Engineering, Massachusetts Institute of Technology MIT

  Authors

  • Nathan Rebello

    • Massachusetts Institute of Technology MIT
    • Department of Chemical Engineering, Massachusetts Institute of Technology MIT

  • Akash Arora

    • Massachusetts Institute of Technology MIT

  • Tzyy-Shyang Lin

    • Massachusetts Institute of Technology MIT

  • Sarah Av-Ron

    • Massachusetts Institute of Technology MIT

  • Bradley Olsen

    • Massachusetts Institute of Technology MIT
    • Department of Chemical Engineering, Massachusetts Institute of Technology MIT

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• Deep Learning and Self-Consistent Field Theory: A Path Towards Accelerating Polymer Phase Discovery

  ORAL

  March 17, 2021, 9:12 AM – March 17, 2021, 9:24 AM

  Presenters

  • Yao Xuan

    • University of California, Santa Barbara

  Authors

  • Yao Xuan

    • University of California, Santa Barbara

  • Kris T Delaney

    • University of California, Santa Barbara

  • Hector D. Ceniceros

    • University of California, Santa Barbara

  • Glenn H Fredrickson

    • University of California, Santa Barbara

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• Thermal conductivity, heat capacity and speed of sound of epoxy resins

  ORAL

  March 17, 2021, 9:24 AM – March 17, 2021, 9:36 AM

  Presenters

  • guangxin lyu

    • University of Illinois at Urbana-Champaign

  Authors

  • guangxin lyu

    • University of Illinois at Urbana-Champaign

  • Christopher Evans

    • University of Illinois at Urbana-Champaign

  • David G. Cahill

    • Department of Materials Science and Engineering and Materials Research Laboratory, University of Illinois at Urbana-Champaign
    • University of Illinois at Urbana-Champaign

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• Using Machine Learning to Predict the Glass Transition Temperature of Polyimides

  ORAL

  March 17, 2021, 9:36 AM – March 17, 2021, 9:48 AM

  Presenters

  • Shengfeng Cheng

    • Virginia Tech

  Authors

  • Chengyuan Wen

    • Virginia Tech

  • Binghan Liu

    • Virginia Tech

  • Josh Wolfgang

    • Virginia Tech
    • Department of Chemistry, Virginia Tech

  • Timothy Long

    • Arizona State University

  • Roy Odle

    • SABIC

  • Shengfeng Cheng

    • Virginia Tech

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• BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks

  ORAL

  March 17, 2021, 9:48 AM – March 17, 2021, 10:00 AM

  Presenters

  • Fabian Berressem

    • University of Mainz

  Authors

  • Fabian Berressem

    • University of Mainz

  • Arash Nikoubashman

    • University of Mainz
    • Department of Physics, University of Mainz
    • Johannes Gutenberg University
    • Institute of Physics, Johannes Gutenberg University Mainz

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• Data-driven tools to “fingerprint” soft material structuring in complex processing flows

  ORAL

  March 17, 2021, 10:00 AM – March 17, 2021, 10:12 AM

  Presenters

  • Matthew Helgeson

    • Chemical Engineering, University of California, Santa Barbara
    • University of California, Santa Barbara
    • University of California Santa Barbara
    • University of Califronia Santa Barbara

  Authors

  • Patrick Corona

    • University of California Santa Barbara
    • University of Califronia Santa Barbara
    • University of California, Santa Barbara

  • Barbara Berke

    • Chalmers University

  • L. Gary Leal

    • University of Califronia Santa Barbara
    • University of California, Santa Barbara

  • Marianne Liebi

    • Chalmers University

  • Matthew Helgeson

    • Chemical Engineering, University of California, Santa Barbara
    • University of California, Santa Barbara
    • University of California Santa Barbara
    • University of Califronia Santa Barbara

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• Gaussian Processes and Deep Learning for Experimental Data

  Invited

  March 17, 2021, 10:12 AM – March 17, 2021, 10:48 AM

  Presenters

  • Daniela Ushizima

    • University of California, Berkeley

  Authors

  • Daniela Ushizima

    • University of California, Berkeley

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• Meta-Reinforcement Learning as the Driver of Data Acquisition in Autonomous Polymer Discovery

  ORAL

  March 17, 2021, 10:48 AM – March 17, 2021, 11:00 AM

  Presenters

  • Sarath Swaminathan

    • IBM Research - Almaden

  Authors

  • Sarath Swaminathan

    • IBM Research - Almaden

  • Victoria Piunova

    • IBM Research - Almaden

  • Krystelle Lionti

    • IBM Research - Almaden

  • Chinyere Agunwa

    • IBM Research - Almaden

  • Daniel Sanders

    • IBM Research - Almaden

  • Dmitry Zubarev

    • IBM Research - Almaden

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