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

Daniel O’Malley

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

11 / 11 papers shown

Title
Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds Harsh Sharma Hongliang Mu Patrick Buchfink R. Geelen Silke Glas Boris Kramer 18 28 0 24 May 2023
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 Gabriel F. Barros Malú Grave J. Camata A. Coutinho AI4CE 30 3 0 16 Aug 2022
AI-enhanced iterative solvers for accelerating the solution of large scale parametrized systems Stefanos Nikolopoulos I. Kalogeris V. Papadopoulos G. Stavroulakis 18 11 0 06 Jul 2022
Physics-aware Reduced-order Modeling of Transonic Flow via $β$ -Variational Autoencoder Yu-Eop Kang Sunwoong Yang K. Yee DRL AI4CE 11 25 0 02 May 2022
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials Xiaolong He Jiun-Shyan Chen AI4CE 29 48 0 01 May 2022
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 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 29 21 0 13 Feb 2022
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 16 17 0 11 Feb 2022
Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation T. Kadeethum F. Ballarin N. Bouklas AI4CE 47 26 0 28 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 31 57 0 15 Aug 2020