Related references
Note: Only part of the references are listed.Machine Learning for Fluid Mechanics
Steven L. Brunton et al.
ANNUAL REVIEW OF FLUID MECHANICS, VOL 52 (2020)
Modal Analysis of Fluid Flows: Applications and Outlook
Kunihiko Taira et al.
AIAA JOURNAL (2020)
Data-driven predictions of the Lorenz system
Pierre Dubois et al.
PHYSICA D-NONLINEAR PHENOMENA (2020)
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
M. Raissi et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Sparse feature map-based Markov models for nonlinear fluid flows
Balaji Jayaraman et al.
COMPUTERS & FLUIDS (2019)
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning
Kevin T. Carlberg et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Robust flow reconstruction from limited measurements via sparse representation
Jared Callaham et al.
PHYSICAL REVIEW FLUIDS (2019)
L21-Norm Based Loss Function and Regularization Extreme Learning Machine
Rui Li et al.
IEEE ACCESS (2019)
Interplay of Sensor Quantity, Placement and System Dimension in POD-Based Sparse Reconstruction of Fluid Flows
Balaji Jayaraman et al.
FLUIDS (2019)
Data-Driven Sparse Sensor Placement for Reconstruction DEMONSTRATING THE BENEFITS OF EXPLOITING KNOWN PATTERNS
Krithika Manohar et al.
IEEE CONTROL SYSTEMS MAGAZINE (2018)
Dependence of square cylinder wake on Reynolds number
Honglei Bai et al.
PHYSICS OF FLUIDS (2018)
Deep learning for universal linear embeddings of nonlinear dynamics
Bethany Lusch et al.
NATURE COMMUNICATIONS (2018)
Extreme Learning Machines as Encoders for Sparse Reconstruction
S. M. Abdullah Al Mamun et al.
FLUIDS (2018)
Observable Dictionary Learning for High-Dimensional Statistical Inference
Lionel Mathelin et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2018)
Scaling of Lyapunov exponents in homogeneous isotropic turbulence
Prakash Mohan et al.
PHYSICAL REVIEW FLUIDS (2017)
Modal Analysis of Fluid Flows: An Overview
Kunihiko Taira et al.
AIAA JOURNAL (2017)
Combining Wind-Tunnel and Field Measurements of Street-Canyon Flow via Stochastic Estimation
Laurent Perret et al.
BOUNDARY-LAYER METEOROLOGY (2016)
Comparison of stochastic estimation methods with conditional events optimization for the reconstruction of the flow around a supercritical airfoil in transonic conditions
A. Arnault et al.
COMPUTERS & FLUIDS (2016)
Analysis of the filtering effect of the stochastic estimation and accuracy improvement by sensor location optimization
A. Arnault et al.
EXPERIMENTS IN FLUIDS (2016)
Reconstruction of unsteady viscous flows using data assimilation schemes
V. Mons et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2016)
Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
Julia Ling et al.
JOURNAL OF FLUID MECHANICS (2016)
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Steven L. Brunton et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)
Cluster-based reduced-order modelling of a mixing layer
Eurika Kaiser et al.
JOURNAL OF FLUID MECHANICS (2014)
Reduced-order Kalman-filtered hybrid simulation combining particle tracking velocimetry and direct numerical simulation
Takao Suzuki
JOURNAL OF FLUID MECHANICS (2012)
Statistics and scaling of turbulence in a spatially developing mixing layer at Reλ=250
Antonio Attili et al.
PHYSICS OF FLUIDS (2012)
State estimation in wall-bounded flow systems. Part 3. The ensemble Kalman filter
C. H. Colburn et al.
JOURNAL OF FLUID MECHANICS (2011)
Dynamic mode decomposition of numerical and experimental data
Peter J. Schmid
JOURNAL OF FLUID MECHANICS (2010)
Sensitivity of two-dimensional spatially developing mixing layers with respect to uncertain inflow conditions
Jordan Ko et al.
PHYSICS OF FLUIDS (2008)
A reconstruction method for the flow past an open cavity
B Podvin et al.
JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME (2006)
A tutorial on support vector regression
AJ Smola et al.
STATISTICS AND COMPUTING (2004)
A hierarchy of low-dimensional models for the transient and post-transient cylinder wake
BR Noack et al.
JOURNAL OF FLUID MECHANICS (2003)
Estimation of the flowfield from surface pressure measurements in an open cavity
NE Murray et al.
AIAA JOURNAL (2003)