76 citations · 436 across the 18 of their papers we have counts for
18 papers
Insect-inspired modular architectures as inductive biases for reinforcement learning
Anne E. Staples
Most reinforcement-learning (RL) controllers used in continuous control are architecturally centralized: observations are compressed into a single latent state from which both valu…
Accelerated evolution of Burgers turbulence with coarse projective integration and deep learning
Mrigank Dhingra, Omer San, Anne E. Staples
Simulating turbulence to stationarity is a major bottleneck in many engineering problems of practical importance. The problem can be cast as a multiscale problem involving energy r…
Frequency-specific, valveless flow control in insect-mimetic microfluidic devices
Krishnashis Chatterjee, Philip M. Graybill, John J. Socha +2
Inexpensive, portable lab-on-a-chip devices would revolutionize fields like environmental monitoring and global health, but current microfluidic chips are tethered to extensive off…
Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensors
Harsha Vaddireddy, Adil Rasheed, Anne E Staples +1
In this study we put forth a modular approach for distilling hidden flow physics in discrete and sparse observations. To address functional expressiblity, a key limitation of the b…
A Finite-Element Coarse-Grid Projection Method: A Dual Acceleration/Mesh Refinement Tool for Incompressible Flows
A. Kashefi, A. E. Staples
Coarse grid projection (CGP) methodology is a novel multigrid method for systems involving decoupled nonlinear evolution equations and linear elliptic Poisson equations. The nonlin…
Large Eddy Simulation of Turbulent Barotropic Flows in Spectral Space on the Sphere
Leila N. Azadani, Anne E. Staples
Numerical simulations of atmospheric circulation models are limited by their finite spatial resolution, and so large eddy simulation (LES) is the preferred approach to study these…