A Reduced-Order Method for Simulation and Control of Fluid Flows
|
journal
|
July 1998 |
Learning long-term dependencies with gradient descent is difficult
|
journal
|
March 1994 |
Data-assisted reduced-order modeling of extreme events in complex dynamical systems
|
journal
|
May 2018 |
Spatio-temporal symmetries and bifurcations via bi-orthogonal decompositions
|
journal
|
June 1992 |
A reduced-order model for heat transfer in multiphase flow and practical aspects of the proper orthogonal decomposition
|
journal
|
August 2012 |
Non-linear dynamics and statistical theories for basic geophysical flows
|
book
|
January 2006 |
Reduced Basis Methods for Parameterized Partial Differential Equations with Stochastic Influences Using the Karhunen--Loève Expansion
|
journal
|
January 2013 |
Deep learning
|
journal
|
May 2015 |
A neural network approach for the blind deconvolution of turbulent flows
|
journal
|
October 2017 |
Dynamics of three-dimensional coherent structures in a flat-plate boundary layer
|
journal
|
September 1994 |
On the stability and extension of reduced-order Galerkin models in incompressible flows: A numerical study of vortex shedding
|
journal
|
June 2009 |
Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model
|
journal
|
April 2018 |
Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks
- Vlachas, Pantelis R.; Byeon, Wonmin; Wan, Zhong Y.
-
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 474, Issue 2213
https://doi.org/10.1098/rspa.2017.0844
|
journal
|
May 2018 |
A Short Review on Model Order Reduction Based on Proper Generalized Decomposition
|
journal
|
October 2011 |
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
|
journal
|
February 2019 |
Unsteady Fluid Mechanics Applications of Neural Networks
|
journal
|
January 1997 |
Climate change, the Hurst phenomenon, and hydrological statistics
|
journal
|
February 2003 |
Data-Driven Filtered Reduced Order Modeling of Fluid Flows
|
journal
|
January 2018 |
Identification strategies for model-based control
|
journal
|
July 2013 |
Turbulence Modeling in the Age of Data
|
journal
|
January 2019 |
An improved algorithm for the shallow water equations model reduction: Dynamic Mode Decomposition vs POD: AN IMPROVED ALGORITHM FOR DYNAMIC MODE DECOMPOSITION VS POD
|
journal
|
April 2015 |
Application of neural networks to turbulence control for drag reduction
|
journal
|
June 1997 |
LSTM: A Search Space Odyssey
|
journal
|
October 2017 |
A hierarchy of low-dimensional models for the transient and post-transient cylinder wake
|
journal
|
December 2003 |
Model Reduction for Flow Analysis and Control
|
journal
|
January 2017 |
POD and CVT-based reduced-order modeling of Navier–Stokes flows
|
journal
|
December 2006 |
A dynamic closure modeling framework for model order reduction of geophysical flows
|
journal
|
April 2019 |
Approximate deconvolution reduced order modeling
|
journal
|
January 2017 |
On Low-Dimensional Galerkin Models for Fluid Flow
|
journal
|
June 2000 |
Reduced order models based on local POD plus Galerkin projection
|
journal
|
April 2010 |
An artificial neural network framework for reduced order modeling of transient flows
|
journal
|
October 2019 |
Total variation diminishing Runge-Kutta schemes
|
journal
|
January 1998 |
Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem
|
journal
|
May 2019 |
Dispersive–Dissipative Eddy Parameterization in a Barotropic Model
|
journal
|
August 2001 |
Numerical assessments of ocean energy extraction from western boundary currents using a quasi-geostrophic ocean circulation model
|
journal
|
December 2016 |
Long Short-Term Memory
|
journal
|
November 1997 |
A reduced-order approach to four-dimensional variational data assimilation using proper orthogonal decomposition
|
journal
|
January 2007 |
A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
|
journal
|
January 2015 |
A spectral viscosity method for correcting the long-term behavior of POD models
|
journal
|
February 2004 |
Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics
|
journal
|
January 2002 |
Spectral proper orthogonal decomposition
|
journal
|
March 2016 |
Some Recent Developments in Turbulence Closure Modeling
|
journal
|
January 2018 |
Observing the Ocean in the 1990s
|
journal
|
October 1982 |
A proper orthogonal decomposition method for nonlinear flows with deforming meshes
|
journal
|
December 2014 |
Proper orthogonal decomposition and low-dimensional models for driven cavity flows
|
journal
|
July 1998 |
Proper orthogonal decomposition closure models for turbulent flows: A numerical comparison
|
journal
|
September 2012 |
Robustness of the rescaled range R/S in the measurement of noncyclic long run statistical dependence
|
journal
|
October 1969 |
Neural network closures for nonlinear model order reduction
|
journal
|
January 2018 |
Noah, Joseph, and Operational Hydrology
|
journal
|
October 1968 |
Wind-driven ocean circulation and equilibrium statistical mechanics
|
journal
|
August 1989 |
The End of Moore's Law: A New Beginning for Information Technology
|
journal
|
March 2017 |
Four-Gyre Circulation in a Barotropic Model with Double-Gyre Wind Forcing
|
journal
|
June 2000 |
A new algorithm for high-dimensional uncertainty quantification based on dimension-adaptive sparse grid approximation and reduced basis methods
|
journal
|
October 2015 |
Closed-Loop Turbulence Control: Progress and Challenges
|
journal
|
August 2015 |
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
|
journal
|
December 2018 |
Fifty Years of Moore's Law
|
journal
|
May 2011 |
The dynamics of coherent structures in the wall region of a turbulent boundary layer
|
journal
|
July 1988 |
Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
|
journal
|
April 2004 |
On the need for a nonlinear subscale turbulence term in POD models as exemplified for a high-Reynolds-number flow over an Ahmed body
|
journal
|
April 2014 |
Machine Learning for Fluid Mechanics
|
journal
|
September 2019 |
Emergence of Inertial Gyres in a Two-Layer Quasigeostrophic Ocean Model
|
journal
|
March 1998 |
An Example of Eddy-Induced Ocean Circulation
|
journal
|
July 1980 |
Reduced-order modeling: new approaches for computational physics
|
journal
|
February 2004 |
Deep learning algorithm for data-driven simulation of noisy dynamical system
|
journal
|
January 2019 |
New approach for automatic classification of Alzheimer's disease, mild cognitive impairment and healthy brain magnetic resonance images
|
journal
|
January 2014 |
Computational design for long-term numerical integration of the equations of fluid motion: Two-dimensional incompressible flow. Part I
|
journal
|
August 1966 |
Efficient non-linear model reduction via a least-squares Petrov-Galerkin projection and compressive tensor approximations
- Carlberg, Kevin; Bou-Mosleh, Charbel; Farhat, Charbel
-
International Journal for Numerical Methods in Engineering, Vol. 86, Issue 2
https://doi.org/10.1002/nme.3050
|
journal
|
October 2010 |
Approximate deconvolution large eddy simulation of a barotropic ocean circulation model
|
journal
|
January 2011 |
Model reduction for compressible flows using POD and Galerkin projection
|
journal
|
February 2004 |
A survey of model reduction methods for large-scale systems
|
book
|
January 2001 |
The chips are down for Moore’s law
|
journal
|
February 2016 |
The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows
|
journal
|
January 1993 |
Wind-Driven Currents in a Baroclinic Ocean; with Application to the Equatorial Currents of the Eastern Pacific
|
journal
|
November 1947 |
A Hybrid Approach for Model Order Reduction of Barotropic Quasi-Geostrophic Turbulence
|
journal
|
October 2018 |
Extreme learning machine for reduced order modeling of turbulent geophysical flows
|
journal
|
April 2018 |
Stability Properties of POD-Galerkin Approximations for the Compressible Navier-Stokes Equations
|
journal
|
March 2000 |
A stabilized proper orthogonal decomposition reduced-order model for large scale quasigeostrophic ocean circulation
|
journal
|
May 2015 |
Towards a topological–geometrical theory of group equivariant non-expansive operators for data analysis and machine learning
|
journal
|
September 2019 |
Model identification of reduced order fluid dynamics systems using deep learning: Model identification in fluid dynamics using deep learning
|
journal
|
August 2017 |
Turbulence and the dynamics of coherent structures. I. Coherent structures
|
journal
|
January 1987 |
Markov processes, Hurst exponents, and nonlinear diffusion equations: With application to finance
|
journal
|
September 2006 |
Time-dependent Hurst exponent in financial time series
|
journal
|
December 2004 |
Deep learning in fluid dynamics
|
journal
|
January 2017 |
Inertial gyres in decaying and forced geostrophic turbulence
|
journal
|
November 1992 |
Modeling Mesoscale Turbulence in the Barotropic Double-Gyre Circulation
|
journal
|
November 2003 |
Dynamics and Control of High-Reynolds-Number flow over open Cavities
|
journal
|
January 2006 |
A First Course in Turbulence
|
|
January 1972 |
Spectral proper orthogonal decomposition
|
text
|
January 2016 |
Unsteady fluid mechanics applications of neural networks
|
conference
|
August 1995 |
A Proper Orthogonal Decomposition Method for Nonlinear Flows with Deforming Meshes
|
conference
|
January 2013 |
Computational Design for Long-Term Numerical Integration of the Equations of Fluid Motion: Two-Dimensional Incompressible Flow. Part I
|
journal
|
August 1997 |
Data-assisted reduced-order modeling of extreme events in complex dynamical systems
|
text
|
January 2018 |
Deep Learning
|
text
|
January 2018 |
Approximate deconvolution large eddy simulation of a barotropic ocean circulation model
|
text
|
January 2011 |
Proper Orthogonal Decomposition Closure Models For Turbulent Flows: A Numerical Comparison
|
text
|
January 2011 |
On the need for a nonlinear subscale turbulence term in POD models as exemplified for a high Reynolds number flow over an Ahmed body
|
text
|
January 2013 |
LSTM: A Search Space Odyssey
|
text
|
January 2015 |
Numerical assessments of ocean energy extraction from western boundary currents using a quasi-geostrophic ocean circulation model
|
text
|
January 2016 |
Modal Analysis of Fluid Flows: An Overview
|
preprint
|
January 2017 |
A neural network approach for the blind deconvolution of turbulent flows
|
text
|
January 2017 |
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks
|
text
|
January 2018 |
An artificial neural network framework for reduced order modeling of transient flows
|
text
|
January 2018 |
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model
|
text
|
January 2018 |
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
|
preprint
|
January 2018 |
A dynamic closure modeling framework for model order reduction of geophysical flows
|
preprint
|
January 2019 |
Machine Learning for Fluid Mechanics
|
text
|
January 2019 |
Markov Processes, Hurst Exponents, and Nonlinear Diffusion Equations with application to finance
|
text
|
January 2006 |