3 papers
cond-mat.dis-nn2026
Using graph neural networks to predict many-body interactions in amorphous materials
Mehryar Jannesari Ghomsheh, Donald L. Koch, Sarah Hormozi
Many-body interactions govern the complex behavior of many amorphous materials, from metallic glasses to biological tissues, yet are often replaced by pairwise additive frameworks…
physics.flu-dyn2026
Simulating the swimming motion of a flagellated bacterium in a microstructured bio-fluid
Arjun Sharma, Sabarish V. Narayanan, Sarah Hormozi +1
We develop a numerical framework to simulate the locomotion of a flagellated bacterium with a spheroidal head (such as Escherichia coli) in biological fluids like mucus, which are…
cond-mat.soft2024
Criticality of the viscous to inertial transition near jamming in non-Brownian suspensions
Nishanth Murugan, Donald Koch, Sarah Hormozi
In this work, we use a Discrete Element Method (DEM) to explore the viscous to inertial shear thickening transition of dense frictionless non-Brownian suspensions close to jamming.…