Microrheological study of complex fluids traces its roots to the work of the botanist Robert
Brown in the early nineteenth century. Indeed, passive microrheology and Brownian motion …

In this work, we introduce a comprehensive machine-learning algorithm, namely, a
multifidelity neural network (MFNN) architecture for data-driven constitutive metamodeling of …

A simulation method has been developed to efficiently evaluate the motion of colloidal
particles in a low-Reynolds-number confined microchannel flow using a Lagrangian-based …

Delayed gravitational collapse of colloidal gels is characterized by initially slow compaction
that gives way to rapid bulk collapse, posing interesting questions about the underlying …

We examine the impact of confinement on the structure, dynamics, and rheology of
spherically confined macromolecular suspensions, with a focus on the role played by …

The non-Newtonian rheology of a dilute suspension of hydrodynamically interacting colloids
is studied theoretically via active, nonlinear microrheology. In this Stokes-flow regime, a …

Predicting and mitigating pore clogging is challenging for the sustainable operation of water
treatment systems. During transport and filtration through membrane micropores, buoyant …

We derive a theoretical model for the nonequilibrium stress in a flowing colloidal suspension
by tracking the motion of a single embedded probe. While Stokes-Einstein relations connect …

We present scalable algorithms to simulate large-scale stochastic particle systems
amenable for modeling dense colloidal suspensions, glasses and gels. To handle the large …

Attractive colloidal-scale forces between macromolecules in biological fluids are suspected
to play a role in important system dynamics, including association times, spatially …