14 citations · 26 across the 6 of their papers we have counts for
6 papers
On the nature of the boundary resonance error in numerical homogenization and its reduction
Sean P. Carney, Milica Dussinger, Bjorn Engquist
Numerical homogenization of multiscale equations typically requires taking an average of the solution to a microscale problem. Both the boundary conditions and domain size of the m…
Steric effects in induced-charge electro-osmosis for strong electric fields
J. Galen Wang, Daniel R. Ladiges, Ishan Srivastava +4
We study the role of steric effects on the induced-charge electro-osmosis (ICEO) phenomenon using a recently developed mesoscale fluid model. A hybrid Eulerian-Lagrangian method is…
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…
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…
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…
A Discrete Ion Stochastic Continuum Overdamped Solvent Algorithm for Modeling Electrolytes
Daniel R. Ladiges, Sean P. Carney, Andrew Nonaka +6
In this paper we develop a methodology for the mesoscale simulation of strong electrolytes. The methodology is an extension of the Fluctuating Immersed Boundary (FIB) approach that…