231 citations · 1.9k across the 42 of their papers we have counts for
43 papers
Effect of polymer additives on dynamics of water level in an open channel
Manish Kumar, Michael D. Graham
The presence of a tiny amount of polymers (a few parts per million) in a fluid dramatically reduces turbulent drag. For this reason, polymer additives have been proposed to be used…
Scattering-Informed Microstructure Prediction during Lagrangian Evolution (SIMPLE) -- A data-driven framework for modeling complex fluids in flow
Charles D. Young, Patrick T. Corona, Anukta Datta +2
An overarching challenge in rheology is to develop constitutive models for complex fluids for which we lack accurate first principles theory. A further challenge is that most exper…
Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems
Kevin Zeng, Carlos E. Pérez De Jesús, Andrew J. Fox +1
While many phenomena in physics and engineering are formally high-dimensional, their long-time dynamics often live on a lower-dimensional manifold. The present work introduces an a…
Self-similar, spatially localized structures in turbulent pipe flow from a data-driven wavelet decomposition
Alex Guo, Daniel Floryan, Michael D. Graham
This study aims to extract and characterize structures in fully developed pipe flow at a friction Reynolds number of . To do so, we employ data-driven wavelet…
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning
Alec J. Linot, Kevin Zeng, Michael D. Graham
The high dimensionality and complex dynamics of turbulent flows remain an obstacle to the discovery and implementation of control strategies. Deep reinforcement learning (RL) is a…
Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow
Alec J. Linot, Michael D. Graham
Because the Navier-Stokes equations are dissipative, the long-time dynamics of a flow in state space are expected to collapse onto a manifold whose dimension may be much lower than…