Modeling Chain Relaxation in Moderately Entangled Polyisoprene Melts

Chain relaxation in melts of moderately entangled macromolecules presents the first signs of topological constraints that are commonly manifested in the rheology of long commercial-grade polymers. In this study, we employ multiscale molecular dynamics simulations to examine the relaxation characteristics of model polyisoprene (PI) melts through the transition from the Rouse regime to entangled systems. We probed the impact of molecular weight and stereochemistry and evaluated the accuracy of theory in modeling the end-to-end relaxation. Our results support that trans-PI dynamics is distinct, with entanglements forming at a lower degree of polymerization than other compositions due to differences in the characteristic ratio and packing of this polymer. For all moderately entangled systems, modeling the end-to-end relaxation with the original Likhtman–McLeish theory with contour-length fluctuations presents deviations from recorded data in both the early time and terminal regime. We propose numerical modifications that significantly improve the model for all of the systems studied without introducing additional parameters. Our approach allows accurate predictions for long macromolecules based on data from detailed simulations with moderately entangled polyisoprene systems.

Authors

Institutions

Publication Details

Journal
Macromolecules
Published
2025-11-20
DOI
https://doi.org/10.1021/acs.macromol.5c02521
Citations
1
Primary Topic
Rheology and Fluid Dynamics Studies
Type
article
Field-Weighted Citation Impact
0.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling Chain Relaxation in Moderately Entangled Polyisoprene Melts

Craig Burkhart, Vagelis Harmandaris, George Papakonstantopoulos, Patrycja Polińska et al.
1 citations
Macromolecules
Rheology and Fluid Dynamics Studies
0.72
article

Modeling Chain Relaxation in Moderately Entangled Polyisoprene Melts

Craig Burkhart, Vagelis Harmandaris, George Papakonstantopoulos, Patrycja Polińska, Manolis Doxastakis, Anthony Chazirakis, Rohit Ghanta
article en
1 citations

Abstract

Chain relaxation in melts of moderately entangled macromolecules presents the first signs of topological constraints that are commonly manifested in the rheology of long commercial-grade polymers. In this study, we employ multiscale molecular dynamics simulations to examine the relaxation characteristics of model polyisoprene (PI) melts through the transition from the Rouse regime to entangled systems. We probed the impact of molecular weight and stereochemistry and evaluated the accuracy of theory in modeling the end-to-end relaxation. Our results support that trans-PI dynamics is distinct, with entanglements forming at a lower degree of polymerization than other compositions due to differences in the characteristic ratio and packing of this polymer. For all moderately entangled systems, modeling the end-to-end relaxation with the original Likhtman–McLeish theory with contour-length fluctuations presents deviations from recorded data in both the early time and terminal regime. We propose numerical modifications that significantly improve the model for all of the systems studied without introducing additional parameters. Our approach allows accurate predictions for long macromolecules based on data from detailed simulations with moderately entangled polyisoprene systems.

MacromoleculesVol. 58(23)
University of Crete (GR), Cyprus Institute (CY), FORTH Institute of Applied and Computational Mathematics (GR), Goodyear (Luxembourg) (LU), Goodyear (United States) (US), University of Tennessee at Knoxville (US)
Openalex Percentile: Top 26%
Rheology and Fluid Dynamics Studies
0.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.