activity
20192025
most citedCoarse graining the state space of a turbulent flow using periodic orbits

44 citations · 113 across the 8 of their papers we have counts for

collaborators

8 papers

quant-ph2025

Finding periodic orbits in projected quantum many-body dynamics

Elena Petrova, Marko Ljubotina, Gökhan Yalnız +1

Describing general quantum many-body dynamics is a challenging task due to the exponential growth of the Hilbert space with system size. The time-dependent variational principle (T…

physics.flu-dyn2023

Discontinuous transition to shear flow turbulence

Bowen Yang, Yi Zhuang, Gökhan Yalnız +3

Depending on the type of flow, the transition to turbulence can take one of two forms: either turbulence arises from a sequence of instabilities or from the spatial proliferation o…

physics.flu-dyn2023★ 14 cited

Direct path from turbulence to time-periodic solutions

Chaitanya S. Paranjape, Gökhan Yalnız, Yohann Duguet +2

Viscous flows through pipes and channels are steady and ordered until, with increasing velocity, the laminar motion catastrophically breaks down and gives way to turbulence. How th…

physics.flu-dyn2022★ 10 cited

Dynamics and proliferation of turbulent stripes in plane-Poiseuille and plane-Couette flows

Elena Marensi, Gökhan Yalnız, Björn Hof

The first long-lived turbulent structures observable in planar shear flows take the form of localized stripes, inclined with respect to the mean flow direction. The dynamics of the…

physics.flu-dyn2021★ 3 cited

Aging and memory of transitional turbulence

Vasudevan Mukund, Chaitanya S. Paranjape, Michael Philip Sitte +2

The recent classification of the onset of turbulence as a directed percolation (DP) phase transition has been applied to all major shear flows including pipe, channel, Couette and…

physics.flu-dyn2021★ 26 cited

Symmetry-reduced Dynamic Mode Decomposition of Near-wall Turbulence

Elena Marensi, Gökhan Yalnız, Björn Hof +1

Data-driven dimensionality reduction methods such as proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) have proven to be useful for exploring complex pheno…

physics.flu-dyn2020★ 44 cited

Coarse graining the state space of a turbulent flow using periodic orbits

Gökhan Yalnız, Björn Hof, Nazmi Burak Budanur

We show that turbulent dynamics that arise in simulations of the three-dimensional Navier--Stokes equations in a triply-periodic domain under sinusoidal forcing can be described as…

nlin.CD2019★ 16 cited

Inferring symbolic dynamics of chaotic flows from persistence

Gökhan Yalnız, Nazmi Burak Budanur

We introduce "state space persistence analysis" for deducing the symbolic dynamics of time series data obtained from high-dimensional chaotic attractors. To this end, we adapt a to…