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Machine Learning for Fluid Mechanics

Machine Learning for Fluid Mechanics

27 May 2019
Steven Brunton
B. R. Noack
Petros Koumoutsakos
    AI4CE
    PINN
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Papers citing "Machine Learning for Fluid Mechanics"

18 / 118 papers shown
Title
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression
  and Continuous Normalizing Flows
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows
Derek Onken
Lars Ruthotto
BDL
32
52
0
27 May 2020
A Combined Data-driven and Physics-driven Method for Steady Heat
  Conduction Prediction using Deep Convolutional Neural Networks
A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks
Hao Ma
Xiangyu Y. Hu
Yuxuan Zhang
Nils Thuerey
O. Haidn
AI4CE
26
12
0
16 May 2020
SciANN: A Keras/Tensorflow wrapper for scientific computations and
  physics-informed deep learning using artificial neural networks
SciANN: A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks
E. Haghighat
R. Juanes
AI4CE
PINN
20
21
0
11 May 2020
Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase
  Flow Simulation Using Validation Data
Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data
H. Bao
Jinyong Feng
Truc-Nam Dinh
Hongbin Zhang
AI4CE
11
23
0
07 May 2020
Recurrent neural networks and Koopman-based frameworks for temporal
  predictions in a low-order model of turbulence
Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence
Hamidreza Eivazi
L. Guastoni
P. Schlatter
Hossein Azizpour
Ricardo Vinuesa
AI4CE
18
7
0
01 May 2020
Controlling Rayleigh-Bénard convection via Reinforcement Learning
Controlling Rayleigh-Bénard convection via Reinforcement Learning
Gerben Beintema
Alessandro Corbetta
Luca Biferale
F. Toschi
AI4CE
27
79
0
31 Mar 2020
Latent Space Subdivision: Stable and Controllable Time Predictions for
  Fluid Flow
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow
S. Wiewel
Byungsoo Kim
Vinicius Azevedo
B. Solenthaler
Nils Thuerey
AI4CE
22
34
0
12 Mar 2020
Variational inference formulation for a model-free simulation of a
  dynamical system with unknown parameters by a recurrent neural network
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network
K. Yeo
D. E. C. Grullon
Fan-Keng Sun
Duane S. Boning
Jayant Kalagnanam
BDL
26
3
0
02 Mar 2020
A deep learning framework for solution and discovery in solid mechanics
A deep learning framework for solution and discovery in solid mechanics
E. Haghighat
M. Raissi
A. Moure
H. Gómez
R. Juanes
AI4CE
PINN
11
56
0
14 Feb 2020
A deep learning approach for the computation of curvature in the
  level-set method
A deep learning approach for the computation of curvature in the level-set method
Luis Ángel Larios-Cárdenas
Frédéric Gibou
13
14
0
04 Feb 2020
Reservoir computing model of two-dimensional turbulent convection
Reservoir computing model of two-dimensional turbulent convection
S. Pandey
J. Schumacher
22
40
0
28 Jan 2020
DPM: A deep learning PDE augmentation method (with application to
  large-eddy simulation)
DPM: A deep learning PDE augmentation method (with application to large-eddy simulation)
Jonathan B Freund
J. MacArt
Justin A. Sirignano
AI4CE
9
132
0
20 Nov 2019
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural
  Networks for the Forecasting of Complex Spatiotemporal Dynamics
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics
Pantelis R. Vlachas
Jaideep Pathak
Brian R. Hunt
T. Sapsis
M. Girvan
Edward Ott
Petros Koumoutsakos
AI4TS
19
384
0
09 Oct 2019
Learning the Tangent Space of Dynamical Instabilities from Data
Learning the Tangent Space of Dynamical Instabilities from Data
Antoine Blanchard
T. Sapsis
18
8
0
24 Jul 2019
Output-weighted optimal sampling for Bayesian regression and rare event
  statistics using few samples
Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples
T. Sapsis
8
44
0
17 Jul 2019
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and
  Forecasting
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting
Philipp Haehnel
Jakub Mareˇcek
Julien Monteil
Fearghal O'Donncha
AI4CE
20
39
0
22 Oct 2018
Time-lagged autoencoders: Deep learning of slow collective variables for
  molecular kinetics
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
C. Wehmeyer
Frank Noé
AI4CE
BDL
111
356
0
30 Oct 2017
Flow Navigation by Smart Microswimmers via Reinforcement Learning
Flow Navigation by Smart Microswimmers via Reinforcement Learning
S. Colabrese
K. Gustavsson
A. Celani
Luca Biferale
33
156
0
30 Jan 2017
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