4.7 Article

Dynamics of Long Entangled Polyisoprene Melts via Multiscale Modeling

Journal

MACROMOLECULES
Volume 54, Issue 18, Pages 8693-8713

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.macromol.1c01376

Keywords

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Funding

  1. Goodyear Tire Rubber Company
  2. Gauss Centre for Supercomputing e.V. through the John von Neumann Institute for Computing (NIC) on GCS Supercomputer JUWELS at the Julich Supercomputing Centre (JSC)

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A hierarchical triple-scale simulation methodology is applied to investigate the dynamics of cis-1,4 polyisoprene melts, showing good agreement with experimental data, especially for highly entangled polymer melts. The study provides parameter-free predictions on the dynamics of polymeric materials.
A recently proposed hierarchical triple-scale simulation methodology (Behbahani et al., Macromolecules, 2021, 54, 2740-2762) is applied to cis-1,4 polyisoprene melts of a broad range of molecular weights, from oligomers to commercial-grade entangled materials. Dynamics are systematically probed over 12 orders of magnitude in time using a combination of atomistic and bottom-up parameterized coarse-grained and slip-spring simulations. Following calibration of the slip-spring simulations using the end-to-end autocorrelation function, generated data are contrasted to dielectric relaxation spectroscopy experiments and rheological measurements in the literature. A good agreement is found, particularly for highly entangled polymer melts, supporting the ability of the scheme to provide bottom-up parameter-free predictions on the dynamics of polymeric materials. Finally, we systematically examine the application of theoretical models to our strictly monodisperse cis-1,4 polyisoprene melts and provide estimates of the phenomenological parameters employed.

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