The effect of chain polydispersity on the elasticity of disordered polymer networks

• Published in: arXiv.org 2021-01
• Main Authors: Sorichetti, Valerio, Ninarello, Andrea, Ruiz-Franco, José M, Hugouvieux, Virginie, Kob, Walter, Zaccarelli, Emanuela, Rovigatti, Lorenzo
• Format: Article
• Language: English
• Subjects: Cellular communication; Crosslinking; Density; Elastic properties; Mechanical properties; Modulus of elasticity; Molecular conformation; Networks; Polydispersity; Polymers; Shear modulus; Stress-strain relationships
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2101.09814

Due to their unique structural and mechanical properties, randomly-crosslinked polymer networks play an important role in many different fields, ranging from cellular biology to industrial processes. In order to elucidate how these properties are controlled by the physical details of the network (\textit{e.g.} chain-length and end-to-end distributions), we generate disordered phantom networks with different crosslinker concentrations \(C\) and initial density \(\rho_{\rm init}\) and evaluate their elastic properties. We find that the shear modulus computed at the same strand concentration for networks with the same \(C\), which determines the number of chains and the chain-length distribution, depends strongly on the preparation protocol of the network, here controlled by \(\rho_{\rm init}\). We rationalise this dependence by employing a generic stress-strain relation for polymer networks that does not rely on the specific form of the polymer end-to-end distance distribution. We find that the shear modulus of the networks is a non-monotonic function of the density of elastically-active strands, and that this behaviour has a purely entropic origin. Our results show that if short chains are abundant, as it is always the case for randomly-crosslinked polymer networks, the knowledge of the exact chain conformation distribution is essential for predicting correctly the elastic properties. Finally, we apply our theoretical approach to published experimental data, qualitatively confirming our interpretations.