ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.11845
  4. Cited By
POD-DL-ROM: enhancing deep learning-based reduced order models for
  nonlinear parametrized PDEs by proper orthogonal decomposition

POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition

Computer Methods in Applied Mechanics and Engineering (CMAME), 2021
28 January 2021
S. Fresca
Andrea Manzoni
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition"

9 / 59 papers shown
Active-learning-based non-intrusive Model Order Reduction
Active-learning-based non-intrusive Model Order ReductionData-Centric Engineering (DE), 2022
Qinyu Zhuang
D. Hartmann
H. Bungartz
Juan M Lorenzi
AI4CE
128
6
0
08 Apr 2022
Non-linear manifold ROM with Convolutional Autoencoders and Reduced
  Over-Collocation method
Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method
F. Romor
G. Stabile
G. Rozza
284
24
0
01 Mar 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 PipesThe Physics of Fluids (Phys. Fluids), 2022
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
229
31
0
13 Feb 2022
Deep-HyROMnet: A deep learning-based operator approximation for
  hyper-reduction of nonlinear parametrized PDEs
Deep-HyROMnet: A deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEsJournal of Scientific Computing (J. Sci. Comput.), 2022
Ludovica Cicci
S. Fresca
Andrea Manzoni
AI4CE
163
30
0
05 Feb 2022
Long-time prediction of nonlinear parametrized dynamical systems by deep
  learning-based reduced order models
Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models
Federico Fatone
S. Fresca
Andrea Manzoni
AI4TS
129
19
0
25 Jan 2022
Predicting Physics in Mesh-reduced Space with Temporal Attention
Predicting Physics in Mesh-reduced Space with Temporal AttentionInternational Conference on Learning Representations (ICLR), 2022
Xu Han
Han Gao
Tobias Pfaff
Jian-Xun Wang
Liping Liu
AI4CE
353
101
0
22 Jan 2022
Learning High-Dimensional Parametric Maps via Reduced Basis Adaptive
  Residual Networks
Learning High-Dimensional Parametric Maps via Reduced Basis Adaptive Residual Networks
Thomas O'Leary-Roseberry
Xiaosong Du
A. Chaudhuri
J. Martins
Karen E. Willcox
Omar Ghattas
273
28
0
14 Dec 2021
Real-time simulation of parameter-dependent fluid flows through deep
  learning-based reduced order models
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models
S. Fresca
Andrea Manzoni
AI4CE
162
46
0
10 Jun 2021
A Deep Learning approach to Reduced Order Modelling of Parameter
  Dependent Partial Differential Equations
A Deep Learning approach to Reduced Order Modelling of Parameter Dependent Partial Differential EquationsMathematics of Computation (Math. Comp.), 2021
N. R. Franco
Andrea Manzoni
P. Zunino
228
56
0
10 Mar 2021
Previous
12