Isomer geometry controls local mobility in Azopolymers: Coarse-Grained simulation insights

Abstract

We use coarse-grained molecular dynamics to isolate how azobenzene \emph{isomer identity} (\textit{cis} vs.\ \textit{trans}) modulates polymer dynamics in a guest--host setting without covalent attachment and without explicit photoisomerization. Segmental relaxation is quantified from the incoherent intermediate scattering function $F_s(k,t)$, with relaxation times $\tau(T)$ extracted from the $F_s(k,\tau)=e^{-1}$ criterion, fitted by Vogel--Fulcher--Tammann, and a glass-transition temperature $T_g$ defined by a standard operational threshold. Across compositions, global structure (density and pair correlations) is nearly isomer-invariant. In contrast, within our model \textit{cis} systems exhibit systematically shorter $\tau$ and lower $T_g$ than \textit{trans}$\,$—differences consistent with a \emph{localized dynamic facilitation} near chromophores. Voronoi analysis shows that the \emph{average} monomer free volume around azobenzene is essentially insensitive to isomer identity, whereas \textit{cis} chromophores occupy larger Voronoi cells at low $T$. Isoconfigurational ensembles (propensity analysis) reveal that monomers in the first-neighbor shell of \textit{cis} are more mobile than near \textit{trans}, and that immobilizing the chromophores suppresses this contrast. Overall, in this fixed-isomer equilibrium setting our results cannot support a purely homogeneous free-volume softening between isomers (and, by construction, do not test illumination-induced macroscopic stress gradients); instead they point to a local, cooperative, mobility-dependent pathway that provides a geometry-only baseline for the still-debated microscopic origin of light-driven mass transport in azobenzene materials.

Article information

Article type
Paper
Submitted
23 Oct 2025
Accepted
16 Dec 2025
First published
17 Dec 2025

Soft Matter, 2026, Accepted Manuscript

Isomer geometry controls local mobility in Azopolymers: Coarse-Grained simulation insights

C. Balbuena, Soft Matter, 2026, Accepted Manuscript , DOI: 10.1039/D5SM01069A

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