Big Data in Polymer and Soft Matter Physics
FOCUS · B55
Presentations
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Descriptor of both domain structures and bridge chain network in a thermoplastic elastomer using graph
ORAL
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Presenters
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Hiroshi Morita
CD-FMat, AIST
Authors
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Hiroshi Morita
CD-FMat, AIST
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Ayano Miyamoto
CD-FMat, AIST
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Machine Learning for Modelling Microstructure Evolution in Polymer Mixtures
ORAL
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Presenters
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Nigel Clarke
Physics and Astronomy, University of Sheffield, University of Sheffield
Authors
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Nigel Clarke
Physics and Astronomy, University of Sheffield, University of Sheffield
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Impact of Dataset Uncertainties on Machine Learning Model predictions: The Example of Polymer Glass Transition Temperatures
ORAL
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Presenters
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Anurag Jha
Georgia Institute of Technology
Authors
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Anurag Jha
Georgia Institute of Technology
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Anand Chandrasekaran
Georgia Institute of Technology
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Chiho Kim
Georgia Institute of Technology
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Ramamurthy Ramprasad
Georgia Institute of Technology, University of Connecticut, School of Materials Science and Engineering, Georgia Institute of Technology, Materials Science and Engineering, Georgia Institute of Technology, School of Materials Science and Engineering, Georgia Institute of Techmology
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Molecular dynamics and machine learning assisted design of conjugated polymers for improved ionic conductivity
ORAL
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Presenters
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Christian Nowak
Chemical and Biomolecular Engineering, Cornell University
Authors
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Christian Nowak
Chemical and Biomolecular Engineering, Cornell University
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Mayank Misra
Chemical and Biomolecular Engineering, Cornell University
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Fernando A Escobedo
School of Chemical and Biomolecular Engineering, Cornell University, Cornell University, Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Chemical and Biomolecular Engineering, Cornell University
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A charge density prediction model for organic molecules using Deep Neural Networks
ORAL
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Presenters
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Deepak Kamal
Georgia Institute of Technology
Authors
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Deepak Kamal
Georgia Institute of Technology
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Anand Chandrashekaran
Georgia Institute of Technology
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Ramamurthy Ramprasad
Georgia Institute of Technology, University of Connecticut, School of Materials Science and Engineering, Georgia Institute of Technology, Materials Science and Engineering, Georgia Institute of Technology, School of Materials Science and Engineering, Georgia Institute of Techmology
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ABSTRACT WITHDRAWN
COFFEE_KLATCH
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Effectively Exploring Parameter Space: Design of Experiments and Machine Learning-assisted Organic Solar Cell Efficiency Optimization
Invited
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Presenters
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Erik Luber
University of Alberta
Authors
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Bing Cao
University of Alberta
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Lawrence A Adutwum
Pharmaceutical Chemistry, University of Ghana
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Anton O Oliynyk
University of Alberta
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Erik Luber
University of Alberta
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Brian C Olsen
University of Alberta
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Arthur Mar
University of Alberta
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Jillian M Buriak
University of Alberta
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Using Particle Swarm Optimization and SCFT to agnostically identify the stable and low-lying metastable competitive morphologies of block copolymers.
ORAL
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Presenters
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Carol Tsai
University of California, Santa Barbara
Authors
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Carol Tsai
University of California, Santa Barbara
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Kris T Delaney
University of California, Santa Barbara, Material Research Laboratory, University of California, Santa Barbara
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Glenn Fredrickson
University of California, Santa Barbara, Chemical Engineering, University of California, Santa Barbara, Department of Chemical Engineering, University of California, Santa Barbara
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Prediction of suitable solvents and non-solvents for polymers using machine learning techniques
ORAL
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Presenters
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Shruti Venkatram
Georgia Institute of Technology
Authors
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Shruti Venkatram
Georgia Institute of Technology
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Chiho Kim
Georgia Institute of Technology
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Anand Chandrasekaran
Georgia Institute of Technology
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Ramamurthy Ramprasad
Georgia Institute of Technology, University of Connecticut, School of Materials Science and Engineering, Georgia Institute of Technology, Materials Science and Engineering, Georgia Institute of Technology, School of Materials Science and Engineering, Georgia Institute of Techmology
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Applying Machine Learning to Structural Analysis using Pythia
ORAL
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Presenters
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Matthew Spellings
University of Michigan
Authors
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Matthew Spellings
University of Michigan
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Julia Dshemuchadse
Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA, University of Michigan
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Sharon Glotzer
University of Michigan, Chemical Engineering, University of Michigan, University of Michigan, Ann Arbor, MI
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End-to-End Characterization of Colloidal Particles through Holographic Microscopy and Deep Convolutional Neural Networks
ORAL
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Presenters
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Lauren Altman
Center for Soft Matter Research, New York University
Authors
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Lauren Altman
Center for Soft Matter Research, New York University
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David Grier
Center for Soft Matter Research, New York University, New York University
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Mark D Hannel II
New York University, Center for Soft Matter Research, New York University
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An Anisotropic Langevin Equation for Protein Dynamics
ORAL
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Presenters
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Eric Beyerle
University of Oregon
Authors
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Eric Beyerle
University of Oregon
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Marina Giuseppina Guenza
University of Oregon
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ABSTRACT WITHDRAWN
COFFEE_KLATCH
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