69 citations · 94 across the 7 of their papers we have counts for
5 papers · 1 filter
Training of particle-turbulence sub-grid-scale closures with just particle data
G. Saltar Rivera, L. Villafane, J. B. Freund
If sufficient training data are available, neural networks are attractive for representing missing physics in simulations, such as sub-grid scales in the coarse-mesh particle-turbu…
Object Transport by a Confined Active Suspension
Jonathan B. Freund
Numerical simulations in two space dimensions are used to examine the dynamics, transport, and equilibrium behaviors of a neutrally buoyant circular object immersed in an active su…
Embedded training of neural-network sub-grid-scale turbulence models
Jonathan F. MacArt, Justin Sirignano, Jonathan B. Freund
The weights of a deep neural network model are optimized in conjunction with the governing flow equations to provide a model for sub-grid-scale stresses in a temporally developing…
A mechanism for damage spread by ultrasound-induced linear defects in soft materials
Pooya Movahed, Jonathan B. Freund
High-intensity ultrasound excites pre-existing bubbles in tissue-like material, and the subsequent bubble activity may lead to damage. To investigate such damage mechanisms, agar t…
A Simulation of Blood Cells in Branching Capillaries
Amir H. G. Isfahani, Hong Zhao, Jonathan B. Freund
The multi-cellular hydrodynamic interactions play a critical role in the phenomenology of blood flow in the microcirculation. A fast algorithm has been developed to simulate large…