Predicting the Glass Transition of Complex Polymers via Integration of Machine Learning, Theory and Molecular Simulations
Document Type
Conference Proceeding
Publication Date
3-17-2022
School
Polymer Science and Engineering
Publication Title
Bulletin of the American Physical Society
Volume
67
Issue
3
Recommended Citation
Xia, W.,
Alesadi, A.,
Li, Z.,
Cao, Z.,
Gu, X.
(2022). Predicting the Glass Transition of Complex Polymers via Integration of Machine Learning, Theory and Molecular Simulations. Bulletin of the American Physical Society, 67(3).
Available at: https://aquila.usm.edu/fac_pubs/20075
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