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Non-intrusive reduced order modeling of natural convection in porous
  media using convolutional autoencoders: comparison with linear subspace
  techniques

Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques

23 July 2021
T. Kadeethum
F. Ballarin
Y. Cho
Daniel O’Malley
H. Yoon
N. Bouklas
    AI4CE
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Papers citing "Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques"

19 / 19 papers shown
Title
System stabilization with policy optimization on unstable latent
  manifolds
System stabilization with policy optimization on unstable latent manifolds
Steffen W. R. Werner
Benjamin Peherstorfer
30
1
0
08 Jul 2024
Reduced-order modeling for parameterized PDEs via implicit neural
  representations
Reduced-order modeling for parameterized PDEs via implicit neural representations
Tianshu Wen
Kookjin Lee
Youngsoo Choi
AI4CE
50
5
0
28 Nov 2023
Weak-Form Latent Space Dynamics Identification
Weak-Form Latent Space Dynamics Identification
April Tran
Xiaolong He
Daniel Messenger
Youngsoo Choi
David M. Bortz
41
7
0
20 Nov 2023
Online Two-stage Thermal History Prediction Method for Metal Additive
  Manufacturing of Thin Walls
Online Two-stage Thermal History Prediction Method for Metal Additive Manufacturing of Thin Walls
Yifan Tang
M. Rahmani Dehaghani
Pouyan Sajadi
S. B. Balani
Akshay Dhalpe
Suraj Panicker
Di Wu
E. Coatanéa
G. G. Wang
AI4CE
14
0
0
24 Oct 2023
Efficient machine-learning surrogates for large-scale geological carbon
  and energy storage
Efficient machine-learning surrogates for large-scale geological carbon and energy storage
T. Kadeethum
Stephen J Verzi
Hongkyu Yoon
AI4CE
22
2
0
11 Oct 2023
Progressive reduced order modeling: empowering data-driven modeling with
  selective knowledge transfer
Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer
T. Kadeethum
Daniel O’Malley
Youngsoo Choi
Hari S. Viswanathan
Hongkyu Yoon
AI4CE
23
1
0
04 Oct 2023
Data-driven Nonlinear Parametric Model Order Reduction Framework using
  Deep Hierarchical Variational Autoencoder
Data-driven Nonlinear Parametric Model Order Reduction Framework using Deep Hierarchical Variational Autoencoder
Sihun Lee
Sangmin Lee
Ki-Hyun Jang
Haeseong Cho
Sang-Joon Shin
13
6
0
10 Jul 2023
Symplectic model reduction of Hamiltonian systems using data-driven
  quadratic manifolds
Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds
Harsh Sharma
Hongliang Mu
Patrick Buchfink
R. Geelen
Silke Glas
Boris Kramer
23
28
0
24 May 2023
Certified data-driven physics-informed greedy auto-encoder simulator
Certified data-driven physics-informed greedy auto-encoder simulator
Xiaolong He
Youngsoo Choi
William D. Fries
Jonathan Belof
Jiun-Shyan Chen
AI4CE
11
2
0
24 Nov 2022
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization
  and Data Compression
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization and Data Compression
Gabriel F. Barros
Malú Grave
J. Camata
A. Coutinho
AI4CE
35
3
0
16 Aug 2022
$\textit{FastSVD-ML-ROM}$: A Reduced-Order Modeling Framework based on
  Machine Learning for Real-Time Applications
FastSVD-ML-ROM\textit{FastSVD-ML-ROM}FastSVD-ML-ROM: A Reduced-Order Modeling Framework based on Machine Learning for Real-Time Applications
G. Drakoulas
T. Gortsas
G. Bourantas
V. Burganos
D. Polyzos
AI4CE
11
15
0
24 Jul 2022
AI-enhanced iterative solvers for accelerating the solution of large
  scale parametrized systems
AI-enhanced iterative solvers for accelerating the solution of large scale parametrized systems
Stefanos Nikolopoulos
I. Kalogeris
V. Papadopoulos
G. Stavroulakis
24
11
0
06 Jul 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
19
25
0
02 May 2022
Thermodynamically Consistent Machine-Learned Internal State Variable
  Approach for Data-Driven Modeling of Path-Dependent Materials
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials
Xiaolong He
Jiun-Shyan Chen
AI4CE
40
48
0
01 May 2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics
  Identification
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification
Xiaolong He
Youngsoo Choi
William D. Fries
Jonathan Belof
Jiun-Shyan Chen
AI4CE
19
36
0
26 Apr 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
Reduced order modeling for flow and transport problems with Barlow Twins
  self-supervised learning
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning
T. Kadeethum
F. Ballarin
Daniel O’Malley
Youngsoo Choi
N. Bouklas
H. Yoon
AI4CE
27
17
0
11 Feb 2022
Non-intrusive reduced order modeling of poroelasticity of heterogeneous
  media based on a discontinuous Galerkin approximation
Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation
T. Kadeethum
F. Ballarin
N. Bouklas
AI4CE
53
26
0
28 Jan 2021
An autoencoder-based reduced-order model for eigenvalue problems with
  application to neutron diffusion
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
1