35 citations · 93 across the 3 of their papers we have counts for
7 papers
Using Machine Learning to predict extreme events in the Hénon map
Martin Lellep, Jonathan Prexl, Moritz Linkmann +1
Machine Learning (ML) inspired algorithms provide a flexible set of tools for analyzing and forecasting chaotic dynamical systems. We here analyze the performance of one algorithm…
Nonuniversal transition to condensate formation in two-dimensional turbulence
Moritz Linkmann, Manuel Hohmann, Bruno Eckhardt
The occurrence of system-scale coherent structures, so-called condensates, is a well-known phenomenon in two-dimensional turbulence. Here, the transition to condensate formation is…
Dynamic feedback control through wall suction in shear flows
Moritz Linkmann, Bruno Eckhardt
Flow control is of interest in many open and wall-bounded shear flows in order to reduce drag or to avoid sudden large fluctuations that may lead to material failure. An establishe…
Linear feedback control of invariant solutions in channel flow
Moritz Linkmann, Florian Knierim, Stefan Zammert +1
Considering channel flow at Reynolds numbers below the linear stability threshold of the laminar profile as a generic example system showing a subcritical transition to turbulence…
Condensate formation and multiscale dynamics in two-dimensional active suspensions
Moritz Linkmann, M. Cristina Marchetti, Guido Boffetta +1
The collective effects of microswimmers in active suspensions result in active turbulence, a spatiotemporally chaotic dynamics at mesoscale, which is characterized by the presence…
From two-dimensional to three-dimensional turbulence through two-dimensional three-component flows
L. Biferale, M. Buzzicotti, M. Linkmann
The relevance of two-dimensional three-components (2D3C) flows goes well beyond their occurrence in nature, and a deeper understanding of their dynamics might be also helpful in or…