Accurate coarse-grained models for mixtures of colloids and linear polymers under good-solvent conditions
Giuseppe D'Adamo, Andrea Pelissetto, Carlo Pierleoni

TL;DR
This paper develops and validates a coarse-grained modeling approach for mixtures of linear polymers and colloids, accurately capturing structural and thermodynamic properties under good-solvent conditions, especially for specific size ratios.
Contribution
The authors extend a polymer coarse-graining strategy to polymer-colloid mixtures, introducing a transferability-based approach for larger blob models and validating it against full-monomer simulations.
Findings
The tetramer model accurately predicts properties for q≤1.
The n=10 blob model improves accuracy for q=2.
Transferability assumptions enable larger blob models without extensive reparameterization.
Abstract
A coarse-graining strategy, previously developed for polymer solutions, is extended here to mixtures of linear polymers and hard-sphere colloids. In this approach groups of monomers are mapped onto a single pseudoatom (a blob) and the effective blob-blob interactions are obtained by requiring the model to reproduce some large-scale structural properties in the zero-density limit. We show that an accurate parametrization of the polymer-colloid interactions is obtained by simply introducing pair potentials between blobs and colloids. For the coarse-grained model in which polymers are modelled as four-blob chains (tetramers), the pair potentials are determined by means of the iterative Boltzmann inversion scheme, taking full-monomer pair correlation functions at zero-density as targets. For a larger number of blobs, pair potentials are determined by using a simple transferability…
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