Related references
Note: Only part of the references are listed.Langevin models for non-homogeneous turbulent flows: Determination of the coefficients
G. Sarnitsky et al.
EPL (2020)
Thermophysical Properties of the Lennard-Jones Fluid: Database and Data Assessment
Simon Stephan et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2019)
Characterizing abrupt transitions in stochastic' dynamics
Klaus Lehnertz et al.
NEW JOURNAL OF PHYSICS (2018)
Studying Lagrangian dynamics of turbulence using on-demand fluid particle tracking in a public turbulence database
Huidan Yu et al.
JOURNAL OF TURBULENCE (2012)
Estimation of drift and diffusion functions from time series data: A maximum likelihood framework
David Kleinhans
PHYSICAL REVIEW E (2012)
Extended Kramers-Moyal analysis applied to optical trapping
Christoph Honisch et al.
PHYSICAL REVIEW E (2012)
Fokker-Planck model for computational studies of monatomic rarefied gas flows
M. H. Gorji et al.
JOURNAL OF FLUID MECHANICS (2011)
On the velocity distribution in homogeneous isotropic turbulence: correlations and deviations from Gaussianity
Michael Wilczek et al.
JOURNAL OF FLUID MECHANICS (2011)
Different methods to estimate the Einstein-Markov coherence length in turbulence
R. Stresing et al.
PHYSICAL REVIEW E (2011)
Estimation of Kramers-Moyal coefficients at low sampling rates
Christoph Honisch et al.
PHYSICAL REVIEW E (2011)
Approaching complexity by stochastic methods: From biological systems to turbulence
Rudolf Friedrich et al.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2011)
A solution algorithm for the fluid dynamic equations based on a stochastic model for molecular motion
Patrick Jenny et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2010)
Progress in probability density function methods for turbulent reacting flows
D. C. Haworth
PROGRESS IN ENERGY AND COMBUSTION SCIENCE (2010)
A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence
Yi Li et al.
JOURNAL OF TURBULENCE (2008)
The Markov-Einstein coherence length- a new meaning for the Taylor length in turbulence
St. Lueck et al.
PHYSICS LETTERS A (2006)
Regeneration of stochastic processes: an inverse method
F Ghasemi et al.
EUROPEAN PHYSICAL JOURNAL B (2005)
Molecular to fluid dynamics: The consequences of stochastic molecular motion
S Heinz
PHYSICAL REVIEW E (2004)
A note on estimating drift and diffusion parameters from timeseries
P Sura et al.
PHYSICS LETTERS A (2002)
Velocity field statistics in homogeneous steady turbulence obtained using a high-resolution direct numerical simulation
T Gotoh et al.
PHYSICS OF FLUIDS (2002)
Indispensable finite time corrections for Fokker-Planck equations from time series data
M Ragwitz et al.
PHYSICAL REVIEW LETTERS (2001)
Extracting model equations from experimental data
R Friedrich et al.
PHYSICS LETTERS A (2000)