On a Coarse-Graining Concept in Colloidal Physics with Application to Fluid and Arrested Colloidal Suspensions in Shearing Fields

TL;DR

This paper introduces a coarse-graining approach to understand the macroscopic behavior of complex colloidal fluids and arrested states under shear, linking microscopic interactions to large-scale responses.

Contribution

It proposes a novel coarse-graining concept that simplifies the analysis of disordered colloidal systems by focusing on mesoscopic inhomogeneities and validates it with simulations and experiments.

Findings

The coarse-grained theory accurately predicts shear responses.

Structural inhomogeneities determine macroscopic behavior.

The approach bridges microscopic interactions and macroscopic properties.

Abstract

We poorly understand the macroscopic properties of complex fluids and of amorphous bodies in general. This is mainly due to the interplay between phenomena at different levels and length-scales. In particular, it is not necessarily true that the microscopic level (dominated by direct interactions) coincides with the level where the continuum description comes into play. This is typically the case in the presence of structural inhomogeneities which are inherent to all structurally disordered states of matter below close packing. As a consequence, the macroscopic response to external fields of either fluid or arrested disordered states is not well understood. In order to disentangle this complexity, in this work we build upon a simple yet seemingly powerful concept. This can be summarized as follows: the mesoscopic length-scale of structural inhomogeneities is assumed to be the characteristic length-scale of the effective building blocks, while the degrees of freedom of the primary particles are integrated out. Theoretical results are derived, in the present work, for the macroscopic response of fluid and dynamically arrested model colloidal states in fields of shear. The predictions of the coarse-grained theories and the applicability of the principle are tested in comparison with original simulation and experimental data.