activity
20242026
collaborators

10 papers

physics.flu-dyn2026

Light-scattering reconstruction of transparent shapes using neural networks

Tymoteusz Miara, Draga Pihler-Puzović, Matthias Heil +1

The accurate characterisation of the 3D deformations of slender fibres and thin sheets in flow, is a key experimental challenge in the study of particle-laden flows. We propose a h…

physics.flu-dyn2026

Network modelling of yield-stress fluid flow in randomly disordered porous media

Cláudio P. Fonte, Elliott Sutton, Kohei Ohie +3

Yield-stress fluid flow through porous media is governed by a strong coupling between rheology and pore-scale geometry, leading to nonlinear, non-Darcy transport and pronounced cha…

physics.flu-dyn2026

Sub-Yield Dynamics in Yield-Stress Materials

Alice Woodbridge, Kasra Amini, Fredrik Lundell +4

The mechanical response of yield-stress materials below the yield point remains a subject of debate. Two of the most widely used constitutive models for these materials offer funda…

cond-mat.soft2025

Interface Fragmentation via Horizontal Vibration: A Pathway to Scalable Monodisperse Emulsification

Linfeng Piao, Anne Juel

We present a scalable method for producing monodisperse micro-scale emulsions in a rectangular container holding two stably stratified layers of immiscible liquids by applying hori…

physics.flu-dyn2025

Predicting the distribution of yield-stress fluids in branched pipe manifolds

Elliott Sutton, Waldo Rosales Trujillo, Adam Kowalski +2

We develop a one-dimensional network model to predict the steady-state distribution of yield-stress fluids in branched pipe manifolds under wall-slip conditions. The model accounts…

physics.flu-dyn2025

Dynamics of evaporating, interconnected droplets

Chenyang Ren, Sri Ganesh Subramanian, Shresht Jain +3

We report on the dynamics of a pair of sessile droplets that are connected by a microchannel, yet open to the atmosphere and hence free to evaporate. Our results reveal that fluid…