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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