31 citations · 72 across the 8 of their papers we have counts for
7 papers · 1 filter
Narwhals and their blessings: exact coherent structures of elastic turbulence in channel flows
Alexander Morozov, Martin Lellep, Damiano Capocci +1
Solutions of long, flexible polymer molecules are complex fluids that simultaneously exhibit fluid-like and solid-like behaviour. When subjected to external flows, dilute polymer s…
Purely elastic turbulence in pressure-driven channel flows
Martin Lellep, Moritz Linkmann, Alexander Morozov
Solutions of long, flexible polymer molecules are complex fluids that simultaneously exhibit fluid-like and solid-like behaviour. When subjected to an external flow, dilute polymer…
Effects of anisotropy on the geometry of tracer particle trajectories in turbulent flows
Yasmin Hengster, Martin Lellep, Julian Weigel +9
Using curvature and torsion to describe Lagrangian trajectories gives a full description of these as well as an insight into small and large time scales as temporal derivatives up…
Identifying regions of importance in wall-bounded turbulence through explainable deep learning
Andres Cremades, Sergio Hoyas, Rahul Deshpande +8
Despite its great scientific and technological importance, wall-bounded turbulence is an unresolved problem in classical physics that requires new perspectives to be tackled. One o…
Linear stability analysis of purely elastic travelling wave solutions in pressure driven channel flows
Martin Lellep, Moritz Linkmann, Alexander Morozov
Recent studies of pressure-driven flows of dilute polymer solutions in straight channels demonstrated the existence of two-dimensional coherent structures that are disconnected fro…
Purely elastic linear instabilities in parallel shear flows with free-slip boundary conditions
Martin Lellep, Moritz Linkmann, Bruno Eckhardt +1
We perform a linear stability analysis of viscoelastic plane Couette and plane Poiseuille flows with free-slip boundary conditions. The fluid is described by the Oldroyd-B constitu…
Interpreted machine learning in fluid dynamics: Explaining relaminarisation events in wall-bounded shear flows
Martin Lellep, Jonathan Prexl, Bruno Eckhardt +1
Machine Learning (ML) is becoming increasingly popular in fluid dynamics. Powerful ML algorithms such as neural networks or ensemble methods are notoriously difficult to interpret.…