14 citations · 26 across the 6 of their papers we have counts for
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math.NA2022
Physics informed neural networks for elliptic equations with oscillatory differential operators
Arnav Gangal, Luis Kim, Sean P. Carney
Physics informed neural network (PINN) based solution methods for differential equations have recently shown success in a variety of scientific computing applications. Several auth…
physics.flu-dyn2022★ 2 cited
Slow-growth approximation for near-wall patch representation of wall-bounded turbulence
Sean P. Carney, Robert D. Moser
Wall-bounded turbulent shear flows are known to exhibit universal small-scale dynamics that are modulated by large-scale flow structures. Strong pressure gradients complicate this…
physics.comp-ph2022★ 6 cited
Modeling Electrokinetic Flows with the Discrete Ion Stochastic Continuum Overdamped Solvent Algorithm
Daniel R. Ladiges, Jailun G. Wang, Ishan Srivastava +5
In this article we develop an algorithm for the efficient simulation of electrolytes in the presence of physical boundaries. In previous work the Discrete Ion Stochastic Continuum…