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1905.11075
Cited By
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"
50 / 118 papers shown
Title
Predicting the temporal dynamics of turbulent channels through deep learning
Giuseppe Borrelli
L. Guastoni
Hamidreza Eivazi
P. Schlatter
Ricardo Vinuesa
AI4TS
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17
0
02 Mar 2022
Comparative analysis of machine learning methods for active flow control
F. Pino
Lorenzo Schena
Jean Rabault
M. A. Mendez
28
43
0
23 Feb 2022
Reconstruction of observed mechanical motions with Artificial Intelligence tools
Antal Jakovác
M. T. Kurbucz
Péter Pósfay
17
8
0
23 Feb 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks
Y. Yasuda
R. Onishi
25
6
0
22 Feb 2022
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes
Claire E. Heaney
Zef Wolffs
Jón Atli Tómasson
L. Kahouadji
P. Salinas
A. Nicolle
Omar K. Matar
Ionel M. Navon
N. Srinil
Christopher C. Pain
AI4CE
29
21
0
13 Feb 2022
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing
Xihaier Luo
A. Kareem
Liting Yu
Shinjae Yoo
17
0
0
25 Jan 2022
Image features of a splashing drop on a solid surface extracted using a feedforward neural network
Jingzu Yee
A. Yamanaka
Yoshiyuki Tagawa(田川義之)
19
14
0
24 Jan 2022
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders
Joseph Bakarji
Kathleen P. Champion
J. Nathan Kutz
Steven L. Brunton
40
82
0
13 Jan 2022
Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models
Shashwat Bhattacharya
M. Verma
Arnab Bhattacharya
AI4CE
9
12
0
10 Jan 2022
Classifying Turbulent Environments via Machine Learning
M. Buzzicotti
F. Bonaccorso
31
0
0
03 Jan 2022
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows
M. Hassanaly
Bruce A. Perry
M. Mueller
S. Yellapantula
40
5
0
28 Dec 2021
Solving time dependent Fokker-Planck equations via temporal normalizing flow
Xiaodong Feng
Li Zeng
Tao Zhou
AI4CE
36
25
0
28 Dec 2021
Output-weighted and relative entropy loss functions for deep learning precursors of extreme events
S. Rudy
T. Sapsis
27
16
0
01 Dec 2021
Adversarial sampling of unknown and high-dimensional conditional distributions
M. Hassanaly
Andrew Glaws
Karen Stengel
Ryan N. King
GAN
27
21
0
08 Nov 2021
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities
Indranil Pan
L. Mason
Omar K. Matar
AI4CE
44
45
0
07 Nov 2021
Physics-Informed Neural Operator for Learning Partial Differential Equations
Zong-Yi Li
Hongkai Zheng
Nikola B. Kovachki
David Jin
Haoxuan Chen
Burigede Liu
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
62
386
0
06 Nov 2021
Model-assisted deep learning of rare extreme events from partial observations
Anna Asch
Ethan Brady
Hugo Gallardo
John Hood
Bryan Chu
M. Farazmand
26
13
0
04 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems
Christian Møldrup Legaard
Thomas Schranz
G. Schweiger
Ján Drgovna
Basak Falay
C. Gomes
Alexandros Iosifidis
M. Abkar
P. Larsen
PINN
AI4CE
33
93
0
02 Nov 2021
Exploratory Lagrangian-Based Particle Tracing Using Deep Learning
Mengjiao Han
Sudhanshu Sane
Chris R. Johnson
19
18
0
15 Oct 2021
A study of first-passage time minimization via Q-learning in heated gridworlds
M. A. Larchenko
Pavel Osinenko
Grigory Yaremenko
V. V. Palyulin
26
4
0
05 Oct 2021
Physics and Equality Constrained Artificial Neural Networks: Application to Forward and Inverse Problems with Multi-fidelity Data Fusion
S. Basir
Inanc Senocak
PINN
AI4CE
34
68
0
30 Sep 2021
Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations
Li Cheng
Ekhi Ajuria Illarramendi
Guillaume Bogopolsky
M. Bauerheim
B. Cuenot
45
19
0
27 Sep 2021
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network
Ekhi Ajuria Illarramendi
M. Bauerheim
B. Cuenot
33
19
0
20 Sep 2021
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows
Hamidreza Eivazi
S. L. C. Martínez
S. Hoyas
Ricardo Vinuesa
33
92
0
03 Sep 2021
Characterizing possible failure modes in physics-informed neural networks
Aditi S. Krishnapriyan
A. Gholami
Shandian Zhe
Robert M. Kirby
Michael W. Mahoney
PINN
AI4CE
51
615
0
02 Sep 2021
Simulating progressive intramural damage leading to aortic dissection using an operator-regression neural network
Minglang Yin
Ehsan Ban
B. Rego
Enrui Zhang
C. Cavinato
J. Humphrey
George Karniadakis
AI4CE
34
52
0
25 Aug 2021
Deep learning for surrogate modelling of 2D mantle convection
Siddhant Agarwal
Nicola Tosi
Pan Kessel
D. Breuer
G. Montavon
AI4TS
AI4CE
28
7
0
23 Aug 2021
Feature Engineering with Regularity Structures
I. Chevyrev
A. Gerasimovičs
H. Weber
32
10
0
12 Aug 2021
Deep Learning Enhanced Dynamic Mode Decomposition
D. J. Alford-Lago
C. Curtis
Alexander T. Ihler
Opal Issan
32
34
0
10 Aug 2021
Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer
B. Keith
U. Khristenko
B. Wohlmuth
25
7
0
23 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Rui Wang
Rose Yu
AI4CE
PINN
46
65
0
02 Jul 2021
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs
Pu Ren
Chengping Rao
Yang Liu
Jianxun Wang
Hao Sun
DiffM
AI4CE
41
193
0
26 Jun 2021
Lettuce: PyTorch-based Lattice Boltzmann Framework
M. Bedrunka
D. Wilde
Martin L. Kliemank
D. Reith
H. Foysi
Andreas Krämer
AI4CE
26
13
0
24 Jun 2021
Neural ODE to model and prognose thermoacoustic instability
Jayesh M. Dhadphale
Vishnu R Unni
A. Saha
R. Sujith
20
13
0
24 Jun 2021
Symplectic Learning for Hamiltonian Neural Networks
M. David
Florian Méhats
24
36
0
22 Jun 2021
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models
S. Fresca
Andrea Manzoni
AI4CE
21
36
0
10 Jun 2021
Adaptive Latent Space Tuning for Non-Stationary Distributions
A. Scheinker
F. Cropp
S. Paiagua
D. Filippetto
OOD
23
3
0
08 May 2021
Dynamic Mode Decomposition in Adaptive Mesh Refinement and Coarsening Simulations
Gabriel F. Barros
Malú Grave
Alex Viguerie
A. Reali
A. Coutinho
AI4CE
22
14
0
28 Apr 2021
Applications of physics-informed scientific machine learning in subsurface science: A survey
A. Sun
H. Yoon
C. Shih
Zhi Zhong
AI4CE
29
10
0
10 Apr 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
Omer San
Adil Rasheed
T. Kvamsdal
48
50
0
26 Mar 2021
Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics
Keefe Huang
M. Krügener
Alistair Brown
F. Menhorn
H. Bungartz
D. Hartmann
AI4CE
28
26
0
25 Feb 2021
Modern Koopman Theory for Dynamical Systems
Steven L. Brunton
M. Budišić
E. Kaiser
J. Nathan Kutz
AI4CE
46
400
0
24 Feb 2021
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics
A. Racca
Luca Magri
OOD
AAML
16
60
0
09 Feb 2021
A Perspective on Machine Learning Methods in Turbulence Modelling
Andrea Beck
Marius Kurz
AI4CE
47
101
0
23 Oct 2020
Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging
Enrui Zhang
Minglang Yin
George Karniadakis
12
64
0
02 Sep 2020
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion
Toby R. F. Phillips
Claire E. Heaney
Paul N. Smith
Christopher C. Pain
34
57
0
15 Aug 2020
Numerical simulation, clustering and prediction of multi-component polymer precipitation
Pavan K Inguva
L. Mason
Indranil Pan
M. Hengardi
Omar K. Matar
13
4
0
10 Jul 2020
Convolutional-network models to predict wall-bounded turbulence from wall quantities
L. Guastoni
A. Güemes
A. Ianiro
S. Discetti
P. Schlatter
Hossein Azizpour
R. Vinuesa
28
167
0
22 Jun 2020
Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database
M. Buzzicotti
F. Bonaccorso
P. C. D. Leoni
Luca Biferale
AI4CE
28
51
0
16 Jun 2020
Machine learning and control engineering: The model-free case
M. Fliess
Cédric Join
23
13
0
10 Jun 2020
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