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Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady
  Flows

Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows

2 July 2020
Hamidreza Eivazi
H. Veisi
M. H. Naderi
V. Esfahanian
    AI4CE
ArXivPDFHTML

Papers citing "Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows"

11 / 11 papers shown
Title
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order
  Modeling and Control of PDEs
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs
Priyabrata Saha
Saibal Mukhopadhyay
AI4CE
28
0
0
09 Sep 2024
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in
  Transonic Aerodynamic Loads
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
Andrea Vaiuso
Gabriele Immordino
Marcello Righi
A. Ronch
AI4CE
45
0
0
08 Jul 2024
Polytopic Autoencoders with Smooth Clustering for Reduced-order
  Modelling of Flows
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows
Jan Heiland
Yongho Kim
AI4CE
24
2
0
19 Jan 2024
Generative Adversarial Reduced Order Modelling
Generative Adversarial Reduced Order Modelling
Dario Coscia
N. Demo
G. Rozza
GAN
AI4CE
36
5
0
25 May 2023
$β$-Variational autoencoders and transformers for reduced-order
  modelling of fluid flows
βββ-Variational autoencoders and transformers for reduced-order modelling of fluid flows
Alberto Solera-Rico
Carlos Sanmiguel Vila
Miguel Gómez-López
Yuning Wang
Abdulrahman Almashjary
Scott T. M. Dawson
Ricardo Vinuesa
DRL
13
74
0
07 Apr 2023
Control of Two-way Coupled Fluid Systems with Differentiable Solvers
Control of Two-way Coupled Fluid Systems with Differentiable Solvers
B. Ramos
Felix Trost
Nils Thuerey
AI4CE
11
5
0
01 Jun 2022
Physics-aware Reduced-order Modeling of Transonic Flow via
  $β$-Variational Autoencoder
Physics-aware Reduced-order Modeling of Transonic Flow via βββ-Variational Autoencoder
Yu-Eop Kang
Sunwoong Yang
K. Yee
DRL
AI4CE
16
25
0
02 May 2022
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for
  Extended Domains applied to Multiphase Flow in Pipes
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 Comparison of Neural Network Architectures for Data-Driven
  Reduced-Order Modeling
A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling
A. Gruber
M. Gunzburger
L. Ju
Zhu Wang
GNN
35
62
0
05 Oct 2021
Towards extraction of orthogonal and parsimonious non-linear modes from
  turbulent flows
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows
Hamidreza Eivazi
S. L. C. Martínez
S. Hoyas
Ricardo Vinuesa
30
92
0
03 Sep 2021
Deep learning for surrogate modelling of 2D mantle convection
Deep learning for surrogate modelling of 2D mantle convection
Siddhant Agarwal
Nicola Tosi
Pan Kessel
D. Breuer
G. Montavon
AI4TS
AI4CE
20
7
0
23 Aug 2021
1