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Deep Learning for Reduced Order Modelling and Efficient Temporal
  Evolution of Fluid Simulations

Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations

9 July 2021
Pranshu Pant
Ruchi Doshi
Pranav Bahl
A. Farimani
    AI4CE
ArXivPDFHTML

Papers citing "Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations"

12 / 12 papers shown
Title
PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced
  order models for nonlinear parametrized PDEs
PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs
Simone Brivio
S. Fresca
Andrea Manzoni
AI4CE
38
6
0
14 May 2024
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an
  OpenFOAM-Embedded Deep Learning Framework
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework
Jesus Gonzalez-Sieiro
David Pardo
Vincenzo Nava
V. M. Calo
Markus Towara
AI4CE
32
1
0
13 May 2024
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations
Zijie Li
Saurabh Patil
Francis Ogoke
Dule Shu
Wilson Zhen
Michael Schneier
John R. Buchanan
A. Farimani
AI4CE
40
5
0
27 Feb 2024
Learning to simulate partially known spatio-temporal dynamics with
  trainable difference operators
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators
Xiang Huang
Zhuoyuan Li
Hongsheng Liu
Zidong Wang
Hongye Zhou
Bin Dong
Bei Hua
AI4TS
AI4CE
35
1
0
26 Jul 2023
Physics Informed Token Transformer for Solving Partial Differential
  Equations
Physics Informed Token Transformer for Solving Partial Differential Equations
Cooper Lorsung
Zijie Li
Amir Barati Farimani
AI4CE
43
16
0
15 May 2023
An Implicit GNN Solver for Poisson-like problems
An Implicit GNN Solver for Poisson-like problems
Matthieu Nastorg
M. Bucci
T. Faney
J. Gratien
Guillaume Charpiat
Marc Schoenauer
AI4CE
34
2
0
06 Feb 2023
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in
  Computational Fluid Dynamics
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics
Cooper Lorsung
A. Farimani
AI4CE
26
0
0
02 Dec 2022
A Physics-informed Diffusion Model for High-fidelity Flow Field
  Reconstruction
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction
Dule Shu
Zijie Li
A. Farimani
DiffM
AI4CE
35
125
0
26 Nov 2022
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
Saurabh Deshpande
Stéphane P. A. Bordas
J. Lengiewicz
AI4CE
GNN
87
28
0
01 Nov 2022
Predicting fluid-structure interaction with graph neural networks
Predicting fluid-structure interaction with graph neural networks
Rui Gao
R. Jaiman
AI4CE
21
7
0
09 Oct 2022
Transformer for Partial Differential Equations' Operator Learning
Transformer for Partial Differential Equations' Operator Learning
Zijie Li
Kazem Meidani
A. Farimani
42
144
0
26 May 2022
Physics-enhanced deep surrogates for partial differential equations
Physics-enhanced deep surrogates for partial differential equations
R. Pestourie
Youssef Mroueh
Chris Rackauckas
Payel Das
Steven G. Johnson
PINN
AI4CE
25
15
0
10 Nov 2021
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