Determining glass transition in all-atom acrylic polymeric melt simulations 
using machine learning

Banerjee, Atreyee; Iscen, Aysenur; Kremer, Kurt; Kukharenko, Oleksandra

doi:10.1063/5.0151156

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学術論文

Determining glass transition in all-atom acrylic polymeric melt simulations using machine learning

MPS-Authors

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Banerjee, Atreyee
Dept. Kremer: Polymer Theory, MPI for Polymer Research, Max Planck Society;

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Iscen, Aysenur
Dept. Kremer: Polymer Theory, MPI for Polymer Research, Max Planck Society;

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Kremer, Kurt
Dept. Kremer: Polymer Theory, MPI for Polymer Research, Max Planck Society;

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Kukharenko, Oleksandra
Dept. Kremer: Polymer Theory, MPI for Polymer Research, Max Planck Society;

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TheJournalofChemicalPhysics-074108_1_5.0151156.pdf
(出版社版), 7MB

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引用

Banerjee, A., Iscen, A., Kremer, K., & Kukharenko, O. (2023). Determining glass transition in all-atom acrylic polymeric melt simulations using machine learning. The Journal of Chemical Physics, 159(7):. doi:10.1063/5.0151156.

引用: https://hdl.handle.net/21.11116/0000-000D-A3B3-0

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