Universal scaling and characterisation of gelation in associative polymer solutions
Aritra Santra, B. D\"unweg, J. Ravi Prakash

TL;DR
This study uses Brownian dynamics simulations to analyze gelation in associative polymer solutions, validating mean-field scaling theories and identifying different gelation signatures and regimes.
Contribution
It provides a comprehensive simulation-based validation of mean-field scaling relations and gelation criteria in associative polymer solutions across various conditions.
Findings
Simulation confirms mean-field scaling predictions across regimes.
Three distinct signatures characterize gelation and sol-gel transition.
Phase separation occurs under theta-solvent conditions, disrupting scaling predictions.
Abstract
A Brownian dynamics algorithm is used to describe the static behaviour of associative polymer solutions. Predictions for the fractions of stickers bound by intra-chain and inter-chain association, as a function of system parameters, such as the number of stickers, the number of monomers between stickers, the solvent quality, and concentration are obtained. A systematic comparison with the scaling relations predicted by the mean-field theory of Dobrynin (Macromolecules, 37, 3881, 2004) is carried out. Different regimes of scaling behaviour are identified depending on the monomer concentration, the density of stickers on a chain, and the solvent quality for backbone monomers. Simulation results validate the predictions of the mean-field theory across a wide range of parameter values in all the scaling regimes. The value of the des Cloizeaux exponent proposed by Dobrynin for sticky polymer…
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