Machine Learning and Optimization for Accelerating Polymer Physics
FOCUS · MAR-S60 · ID: 3098327
Presentations
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Modeling polymer degradation at the intersection of molecular simulations and machine learning
ORAL · Invited
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Presenters
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Thomas E Gartner
- Lehigh University
Authors
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Thomas E Gartner
- Lehigh University
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Machine Learning Driven Genetic Algorithm Optimization for Polymer Membrane Design
ORAL
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Publication: 1) Machine learning-guided discovery of polymer membranes for CO2 separation with genetic algorithm
2) Machine learning-based discovery of molecular descriptors that control polymer gas permeationPresenters
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Yasemin Basdogan
- University of Rochester
Authors
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Yasemin Basdogan
- University of Rochester
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Zhen-Gang Wang
- Caltech
- California Institute of Technology
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Sanat K Kumar
- Columbia University
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Matthew R Carbone
- Brookhaven National Lab
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Deep Generative Models for Dense Polymer Systems
ORAL
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Publication: Deep Generative Models for Dense Polymer Systems
Presenters
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Pietro Chiarantoni
- Temple University
Authors
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Pietro Chiarantoni
- Temple University
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Oscar Serra
- Temple University
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Mark DelloStritto
- Temple University
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Surya Choutipalli
- Temple University
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Mohammad Erfan Mowlaei
- Temple University
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Vincenzo Carnevale
- Temple University
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Abstract Withdrawn
ORAL · Withdrawn
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Graph-Based Machine Learning for Multicomponent Polymer Solution Phase Diagram Predictions
ORAL
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Presenters
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Jeffrey G Ethier
- Air Force Research Laboratory (AFRL)
Authors
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Jeffrey G Ethier
- Air Force Research Laboratory (AFRL)
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Thomas Lu
- Carnegie Mellon University
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Richard A Vaia
- Air Force Research Laboratory (AFRL)
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Aarti Singh
- Carnegie Mellon University
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Bayesian Optimization for Polymer Blend Phase Boundary Detection: Benchmarking with a Simulated Ground Truth Model
ORAL
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Presenters
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Justin C Hughes
- University of Pennsylvania
Authors
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Justin C Hughes
- University of Pennsylvania
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Yvonne Zagzag
- University of Pennsylvania
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Pavel Shapturenka
- National Institute of Standards and Technology
- University of Pennsylvania
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Dylan York
- University of Pennsylvania
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Chinedum O Osuji
- University of Pennsylvania
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Kevin G Yager
- Brookhaven National Laboratory (BNL)
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Russell John Composto
- University of Pennsylvania
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Monte Carlo Simulation and Machine Learning-Assisted Scattering Analysis of Mechanically Driven Polymers
ORAL
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Publication: Off-Lattice Markov Chain Monte Carlo Simulations of Mechanically Driven Polymers (https://doi.org/10.48550/arXiv.2409.15223)
Machine Learning Inversion from Scattering for Mechanically Driven Polymers (https://doi.org/10.48550/arXiv.2410.05574)Presenters
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Lijie Ding
- Oak Ridge National Laboratory
Authors
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Lijie Ding
- Oak Ridge National Laboratory
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Chi-Huan Tung
- Oak Ridge National Laboratory
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Bobby G Sumpter
- Oak Ridge National Laboratory
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Wei-Ren Chen
- Oak Ridge National Lab
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Changwoo Do
- Oak Ridge National Lab
- Oak Ridge National Laboratory
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A Bayesian Inference Approach to Accurately Fit the Glass Transition from Noisy Experimental Data
ORAL
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Presenters
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James H Merrill
- Emory University
Authors
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James H Merrill
- Emory University
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Yixuan Han
- Emory University
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Connie B Roth
- Emory University
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Uncertainty Quantification in Machine Learning for Glass Transition Temperature Prediction of Polymers
ORAL
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Publication: Tang, Hao, Tianle Yue, and Ying Li. "Uncertainty Quantification in Machine Learning for Glass Transition Temperature Prediction of Polymers." (2024).
Presenters
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Hao Tang
- University of Wisconsin-Madison
Authors
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Hao Tang
- University of Wisconsin-Madison
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Tianle Yue
- University of Wisconsin-Madison
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Ying Li
- University of Wisconsin - Madison
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PolyUniverse: generation of a large-scale polymer library using rule-based polymerization reactions for polymer informatic
ORAL
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Publication: Yue, Tianle, Jianxin He, and Ying Li. "PolyUniverse: Generation of a Large-scale Polymer Library Using Rule-Based Polymerization Reactions for Polymer Informatics."
Presenters
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Tianle Yue
- University of Wisconsin-Madison
Authors
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Tianle Yue
- University of Wisconsin-Madison
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Ying Li
- University of Wisconsin - Madison
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Jianxin He
- University of Wisconsin-Madison
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Functional monomer design for synthetically accessible polymers
ORAL
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Publication: [1] Kim, S.; Schroeder, C.M.; Jackson, N.E. "Functional Monomer Design for Synthetically Accessible Polymers", submitted (2024)
Presenters
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Seonghwan Kim
- University of Illinois at Urbana-Champaign
Authors
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Seonghwan Kim
- University of Illinois at Urbana-Champaign
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Charles M Schroeder
- University of Illinois at Urbana-Champaign
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Nicholas E Jackson
- University of Illinois at Urbana-Champaign
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Enhancing Polymer Design with Fine-Tuned Large Language Models: Bridging Chemical and Natural Languages
ORAL
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Presenters
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Yuan Tian
- University of Chicago
- The University of Chicago
Authors
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Yuan Tian
- University of Chicago
- The University of Chicago
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Gustavo R Perez-Lemus
- University of Chicago
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Pablo Zubieta
- University of Chicago
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Heyi Liang
- University of Chicago
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Juan J De Pablo
- University of Chicago
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BARCODE: Biomaterial Activity Readouts to Categorize, Optimize, Design and Engineer for high throughput screening and characterization of dynamically restructuring soft materials
ORAL
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Presenters
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Qiaopeng Chen
- University of California, Santa Barbara
Authors
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Qiaopeng Chen
- University of California, Santa Barbara
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