Temperature-Driven Two-Stage Knot Dynamics

The thermal relaxation of knotted polymer chains represents a fundamental challenge in macromolecular physics with implications for both synthetic polymer processing and biological function. However, the role of temperature in governing knot resolution remains incompletely understood. Here, we investigate the temperature-dependent unknotting dynamics of flexible polyethylene chains using coarse-grained molecular dynamics simulations across a range of chain lengths and knot types. Our results reveal a swelling-driven unknotting mechanism, wherein knots expand locally rather than diffusing along the polymer backbone. This pathway is robust across topologies and temperatures for short to intermediate chains, whereas significantly longer polymers exhibit swelling-assisted sliding events. Even within the short–intermediate regime, where swelling remains the principal mechanism, the precise dynamics still vary with chain length. We identify a dynamical crossover separating a low-temperature, glassy regime characterized by kinetically arrested, subdiffusive dynamics from a high-temperature, entropy-dominated regime governed by cooperative, Vogel–Fulcher–Tammann (VFT)-like relaxation. The crossover temperature decreases with increasing chain length, reflecting enhanced topological frustration. Short chains exhibit synchronized relaxation, while intermediate chains display hierarchically decoupled dynamics. Unknotting times deviate from classical Rouse scaling, reflecting the topology-influenced nature of the relaxation dynamics. These findings establish a quantitative framework for thermally modulating topological relaxation in polymers, informing design strategies to control knotting behavior in synthetic and biological macromolecules.

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Publication Details

Journal
Macromolecules
Published
2026-01-30
DOI
https://doi.org/10.1021/acs.macromol.5c02552
Primary Topic
Advanced Materials and Mechanics
Type
article
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article

Temperature-Driven Two-Stage Knot Dynamics

ML Klein, Susmita Sarkar, Mark DelloStritto
Macromolecules
Advanced Materials and Mechanics
article

Temperature-Driven Two-Stage Knot Dynamics

ML Klein, Susmita Sarkar, Mark DelloStritto
article en

Abstract

The thermal relaxation of knotted polymer chains represents a fundamental challenge in macromolecular physics with implications for both synthetic polymer processing and biological function. However, the role of temperature in governing knot resolution remains incompletely understood. Here, we investigate the temperature-dependent unknotting dynamics of flexible polyethylene chains using coarse-grained molecular dynamics simulations across a range of chain lengths and knot types. Our results reveal a swelling-driven unknotting mechanism, wherein knots expand locally rather than diffusing along the polymer backbone. This pathway is robust across topologies and temperatures for short to intermediate chains, whereas significantly longer polymers exhibit swelling-assisted sliding events. Even within the short–intermediate regime, where swelling remains the principal mechanism, the precise dynamics still vary with chain length. We identify a dynamical crossover separating a low-temperature, glassy regime characterized by kinetically arrested, subdiffusive dynamics from a high-temperature, entropy-dominated regime governed by cooperative, Vogel–Fulcher–Tammann (VFT)-like relaxation. The crossover temperature decreases with increasing chain length, reflecting enhanced topological frustration. Short chains exhibit synchronized relaxation, while intermediate chains display hierarchically decoupled dynamics. Unknotting times deviate from classical Rouse scaling, reflecting the topology-influenced nature of the relaxation dynamics. These findings establish a quantitative framework for thermally modulating topological relaxation in polymers, informing design strategies to control knotting behavior in synthetic and biological macromolecules.

MacromoleculesVol. 59(4)
Temple College (US), Temple University (US)
Openalex Percentile: Top 72%
Advanced Materials and Mechanics
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