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2202.06170
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An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes
13 February 2022
C. Heaney
Zef Wolffs
Jón Atli Tómasson
L. Kahouadji
P. Salinas
A. Nicolle
Omar K. Matar
Ionel M. Navon
N. Srinil
Christopher C. Pain
AI4CE
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Papers citing
"An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes"
7 / 7 papers shown
Title
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems
Pratyush Bhatt
Y. Kumar
A. Soulaïmani
AI4TS
AI4CE
6
5
0
18 Sep 2022
AI-enhanced iterative solvers for accelerating the solution of large scale parametrized systems
Stefanos Nikolopoulos
I. Kalogeris
V. Papadopoulos
G. Stavroulakis
16
11
0
06 Jul 2022
A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling
A. Gruber
M. Gunzburger
L. Ju
Zhu Wang
GNN
24
62
0
05 Oct 2021
Machine Learning Techniques to Construct Patched Analog Ensembles for Data Assimilation
L. Yang
Ian G. Grooms
13
18
0
27 Feb 2021
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation
Julian Mack
Rossella Arcucci
Miguel Molina-Solana
Yi-Ke Guo
3DPC
42
34
0
06 Jan 2021
Adversarially trained LSTMs on reduced order models of urban air pollution simulations
César Quilodrán-Casas
Rossella Arcucci
Christopher C. Pain
Yike Guo
33
7
0
05 Jan 2021
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion
Toby R. F. Phillips
C. Heaney
Paul N. Smith
Christopher C. Pain
18
56
0
15 Aug 2020
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