62 citations · 316 across the 26 of their papers we have counts for
5 papers · 1 filter
Single inertial particle statistics in turbulent flows from Lagrangian velocity models
J. Friedrich, B. Viggiano, M. Bourgoin +2
We present the extension of a modeling technique for Lagrangian tracer particles [B. Viggiano et al., J. Fluid Mech.(2020), vol. 900, A27] which accounts for the effects of particl…
An open source MATLAB package to perform basic and advanced statistical analysis of turbulence data and other complex systems
André Fuchs, Swapnil Kharche, Matthias Wächter +1
We present a user-friendly open-source MATLAB\textsuperscript{\textregistered} package developed by the research group Turbulence, Wind energy and Stochastics (TWiSt) at the Carl v…
Explicit construction of joint multipoint statistics in complex systems
J. Friedrich, J. Peinke, A. Pumir +1
Complex systems often involve random fluctuations for which self-similar properties in space and time play an important role. Fractional Brownian motions, characterized by a single…
Network models for nonlocal traffic flow
Jan Friedrich, Simone Göttlich, Maximilian Osztfalk
We present a network formulation for a traffic flow model with nonlocal velocity in the flux function. The modeling framework includes suitable coupling conditions at intersections…
Multi-level stochastic refinement for complex time series and fields: A Data-Driven Approach
M. Sinhuber, J. Friedrich, R. Grauer +1
Spatio-temporally extended nonlinear systems often exhibit a remarkable complexity in space and time. In many cases, extensive datasets of such systems are difficult to obtain, yet…