Machine Learning and Data in Polymer Physics II

Presentations

• Machine Learning of Phase Transitions and Dynamical Crossovers in Polymers

  ORAL

  March 17, 2021, 9:00 AM – March 17, 2021, 9:12 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, 9:12 AM – March 17, 2021, 9:24 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, 9:24 AM – March 17, 2021, 9:36 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, 9:36 AM – March 17, 2021, 9:48 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, 9:48 AM – March 17, 2021, 10:00 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, 10:00 AM – March 17, 2021, 10:12 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, 10:12 AM – March 17, 2021, 10:24 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, 10:24 AM – March 17, 2021, 10:36 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, 10:36 AM – March 17, 2021, 10:48 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, 10:48 AM – March 17, 2021, 11:00 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, 11:00 AM – March 17, 2021, 11:12 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, 11:12 AM – March 17, 2021, 11:48 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, 11:48 AM – March 17, 2021, 12:00 PM

  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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