Transfer Learning Facilitates the Prediction of Polymer–Surface Adhesion Strength

Shi, Jiale; Albreiki, Fahed; Yamil J. Colón,; Srivastava, Samanvaya; Whitmer, Jonathan K.

doi:10.1021/acs.jctc.2c01314

Transfer Learning Facilitates the Prediction of Polymer–Surface Adhesion Strength

Journal Article · 17 April 2023 · Journal of Chemical Theory and Computation

DOI:https://doi.org/10.1021/acs.jctc.2c01314· OSTI ID:2424923

Shi, Jiale ^[1]; Albreiki, Fahed ^[2]; ^[1]; ^[3]; ^[4]

Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States; California NanoSystems Institute, Center for Biological Physics, University of California, Los Angeles, Los Angeles, California 90095, United States; Institute for Carbon Management, University of California, Los Angeles, Los Angeles, California 90095, United States; Center for Biological Physics, University of California, Los Angeles, Los Angeles, California 90095, United States
Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States; Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States

Not provided.

Research Organization:: US Department of Energy (USDOE), Washington, DC (United States). Office of Science, Basic Energy Sciences (BES)

Sponsoring Organization:: USDOE

OSTI ID:: 2424923

Journal Information:: Journal of Chemical Theory and Computation, Journal Name: Journal of Chemical Theory and Computation Journal Issue: 14 Vol. 19; ISSN 1549-9618

Publisher:: American Chemical Society

Country of Publication:: United States

Language:: English

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