activity
20122021
most citedLow-order model for successive bifurcations of the fluidic pinball

91 citations · 164 across the 10 of their papers we have counts for

collaborators

11 papers

physics.flu-dyn2021★ 7 cited

Route to Chaos in the Fluidic Pinball

Nan Deng, Luc R. Pastur, Marek Morzyński +1

The fluidic pinball has been recently proposed as an attractive and effective flow configuration for exploring machine learning fluid flow control. In this contribution, we focus o…

physics.flu-dyn2021★ 3 cited

Reduced-order modeling of the fluidic pinball

Luc R. Pastur, Nan Deng, Marek Morzyński +1

The fluidic pinball is a geometrically simple flow configuration with three rotating cylinders on the vertex of an equilateral triangle. Yet, it remains physically rich enough to h…

physics.flu-dyn2019★ 11 cited

Locally linear embedding for transient cylinder wakes

Arthur Ehlert, Christian N. Nayeri, Marek Morzynski +1

Reduced-order representations of an ensemble of cylinder wake transients are investigated. Locally linear embedding identifies a two-dimensional manifold with a maximum error of 1%…

physics.flu-dyn2018★ 91 cited

Low-order model for successive bifurcations of the fluidic pinball

Nan Deng, Bernd R. Noack, Marek Morzynski +1

We propose the first least-order Galerkin model of an incompressible flow undergoing two successive supercritical bifurcations of Hopf and pitchfork type. A key enabler is a mean-f…

physics.flu-dyn2018

Unstable Periodically Forced Navier-Stokes Solutions---Towards Nonlinear First-Principle Reduced-Order Modeling of Actuator Performance

Marek Morzynski, Wojciech Szeliga, Bernd R. Noack

We advance the computation of physical modal expansions for unsteady incompressible flows. Point of departure is a linearization of the Navier-Stokes equations around its fixed poi…

physics.flu-dyn2017★ 21 cited

Metric for attractor overlap

Rishabh Ishar, Eurika Kaiser, Marek Morzynski +6

We present the first general metric for attractor overlap (MAO) facilitating an unsupervised comparison of flow data sets. The starting point is two or more attractors, i.e., ensem…