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Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics

Computer Methods in Applied Mechanics and Engineering (CMAME), 2019

23 December 2019

Papers citing "Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics"

35 / 35 papers shown

Title
Attention-Enhanced Convolutional Autoencoder and Structured Delay Embeddings for Weather Prediction Amirpasha Hedayat Karthik Duraisamy 32 0 0 16 Nov 2025
A surrogate model for topology optimisation of elastic structures via parametric autoencoders Matteo Giacomini Antonio Huerta 73 0 0 30 Jul 2025
DUE: A Deep Learning Framework and Library for Modeling Unknown Equations Junfeng Chen Kailiang Wu D. Xiu 179 3 0 14 Apr 2025
A discrete physics-informed training for projection-based reduced order models with neural networks N. Sibuet S. A. D. Parga J. R. Bravo R. Rossi 268 0 0 31 Mar 2025
Reduced-order modeling of unsteady fluid flow using neural network ensembles Rakesh Halder Mohammadmehdi Ataei H. Salehipour Krzysztof J. Fidkowski Kevin J. Maki AI4CE 164 11 0 08 Feb 2024
Data-driven Nonlinear Parametric Model Order Reduction Framework using Deep Hierarchical Variational AutoencoderEngineering computations (Eng. Comput.), 2023 Sihun Lee Sangmin Lee Ki-Hyun Jang Haeseong Cho Sang-Joon Shin 146 9 0 10 Jul 2023
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?Transportation Research Part B: Methodological (Transp. Res. Part B), 2023 Qingyi Wang Shenhao Wang Yunhan Zheng Hongzhou Lin Xiaohu Zhang Jinhua Zhao Joan Walker 145 17 0 07 Mar 2023
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operatorInternational journal of thermal sciences (Int. J. Therm. Sci.), 2023 Xiaoyu Zhao Xiaoqian Chen Zhiqiang Gong Weien Zhou Wen Yao Yunyang Zhang AI4CE 128 37 0 20 Feb 2023
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine LearningJournal of Computational Physics (JCP), 2023 Shivam Barwey Varun Shankar V. Viswanathan R. Maulik AI4CE 285 30 0 13 Feb 2023
An Implicit GNN Solver for Poisson-like problemsComputers and Mathematics with Applications (CMA), 2023 Matthieu Nastorg M. Bucci T. Faney J. Gratien Guillaume Charpiat Marc Schoenauer AI4CE 339 8 0 06 Feb 2023
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems Isabella Carla Gonnella M. Hess G. Stabile G. Rozza AI4CE 161 2 0 24 Jan 2023
An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGAIntelligent Systems with Applications (ISA), 2023 Murat Isik Matthew Oldland Lifeng Zhou 153 8 0 17 Jan 2023
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flowsScientific Reports (Sci Rep), 2022 Ivan Zanardi Simone Venturi M. Panesi AI4CE 190 21 0 27 Oct 2022
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow ProblemsAdvanced Modeling and Simulation in Engineering Sciences (AMSES), 2022 Pratyush Bhatt Y. Kumar A. Soulaïmani AI4TS AI4CE 81 6 0 18 Sep 2022
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticityComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 Nikolaos N. Vlassis WaiChing Sun AI4CE 163 37 0 30 Jul 2022
$$\textit{FastSVD-ML-ROM}$: A Reduced-Order Modeling Framework based on Machine Learning for Real-Time Applications$ $\textit{FastSVD-ML-ROM}$ : A Reduced-Order Modeling Framework based on Machine Learning for Real-Time ApplicationsComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 G. Drakoulas T. Gortsas G. Bourantas V. Burganos D. Polyzos AI4CE 100 25 0 24 Jul 2022
AI-enhanced iterative solvers for accelerating the solution of large scale parametrized systemsInternational Journal for Numerical Methods in Engineering (IJNME), 2022 Stefanos Nikolopoulos I. Kalogeris V. Papadopoulos G. Stavroulakis 441 14 0 06 Jul 2022
Assessment of convolutional recurrent autoencoder network for learning wave propagation Wrik Mallik R. Jaiman J. Jelovica BDL 94 1 0 12 Apr 2022
Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method F. Romor G. Stabile G. Rozza 232 24 0 01 Mar 2022
Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convectionThe Physics of Fluids (Phys. Fluids), 2022 S. Pandey P. Teutsch Patrick Mäder J. Schumacher 165 35 0 26 Feb 2022
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 205 30 0 13 Feb 2022
Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models Federico Fatone S. Fresca Andrea Manzoni AI4TS 105 18 0 25 Jan 2022
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 229 100 0 22 Jan 2022
Predicting waves in fluids with deep neural networkThe Physics of Fluids (Phys. Fluids), 2022 Indu Kant Deo R. Jaiman AI4Cl 160 26 0 17 Jan 2022
Emulation of greenhouse-gas sensitivities using variational autoencoders L. Cartwright A. Zammit‐Mangion N. Deutscher 94 8 0 22 Dec 2021
Fast PDE-constrained optimization via self-supervised operator learning Sizhuang He Mohamed Aziz Bhouri P. Perdikaris 188 32 0 25 Oct 2021
Nonlinear proper orthogonal decomposition for convection-dominated flows Shady E. Ahmed Omer San Adil Rasheed T. Iliescu 148 44 0 15 Oct 2021
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems Jiayang Xu Aniruddhe Pradhan Karthikeyan Duraisamy AI4CE 134 33 0 15 Sep 2021
Discretization-independent surrogate modeling over complex geometries using hypernetworks and implicit representations J. Duvall Karthik Duraisamy Shaowu Pan AI4CE 259 5 0 14 Sep 2021
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19Journal of Scientific Computing (J. Sci. Comput.), 2021 Vinicius L. S. Silva Claire E. Heaney Yaqi Li Christopher C. Pain AI4CE 137 24 0 17 May 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolutionGAMM-Mitteilungen (GAMM-Mitteilungen), 2021 Omer San Adil Rasheed T. Kvamsdal 142 62 0 26 Mar 2021
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling CurvesNeural Networks (NN), 2020 Claire E. Heaney Yuling Li Omar K. Matar Christopher C. Pain AI4CE 181 19 0 24 Nov 2020
Transformers for Modeling Physical SystemsNeural Networks (NN), 2020 N. Geneva N. Zabaras AI4CE 424 177 0 04 Oct 2020
Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation R. Maulik T. Botsas Nesar Ramachandra L. Mason Indranil Pan 180 33 0 23 Jul 2020
Sparsity-promoting algorithms for the discovery of informative Koopman invariant subspacesJournal of Fluid Mechanics (JFM), 2020 Shaowu Pan Nicholas Arnold-Medabalimi Karthik Duraisamy 192 52 0 25 Feb 2020