17 citations · 33 across the 5 of their papers we have counts for
5 papers
Can neural networks predict dynamics they have never seen?
Anton Pershin, Cedric Beaume, Kuan Li +1
Neural networks have proven to be remarkably successful for a wide range of complicated tasks, from image recognition and object detection to speech recognition and machine transla…
Optimizing the control of transition to turbulence using a Bayesian method
Anton Pershin, Cedric Beaume, Tom S. Eaves +1
The nonlinear robustness of laminar plane Couette flow is considered under the action of in-phase spanwise wall oscillations by computing properties of the edge of chaos, i.e., the…
A probabilistic protocol for the assessment of transition and control
Anton Pershin, Cedric Beaume, Steven M. Tobias
Transition to turbulence dramatically alters the properties of fluid flows. In most canonical shear flows, the laminar flow is linearly stable and a finite-amplitude perturbation i…
Dynamics of spatially localized states in transitional plane Couette flow
Anton Pershin, Cedric Beaume, Steven M. Tobias
Unsteady spatially localized states such as puffs, slugs or spots play an important role in transition to turbulence. In plane Couette flow, steady versions of these states are fou…
Bounds on heat transfer for Bénard-Marangoni convection at infinite Prandtl number
Giovanni Fantuzzi, Anton Pershin, Andrew Wynn
The vertical heat transfer in Bénard-Marangoni convection of a fluid layer with infinite Prandtl number is studied by means of upper bounds on the Nusselt number as a function…