Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems

3 August 2018

Papers citing "Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems"

19 / 19 papers shown

Title
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling Shivam Barwey Riccardo Balin Bethany Lusch Saumil Patel Ramesh Balakrishnan Pinaki Pal R. Maulik V. Vishwanath GNN AI4CE 31 1 0 02 Oct 2024
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning Hao Liu Biraj Dahal Rongjie Lai Wenjing Liao AI4CE 34 5 0 19 Jan 2024
Generative Adversarial Reduced Order Modelling Dario Coscia N. Demo G. Rozza GAN AI4CE 42 5 0 25 May 2023
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
Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction Jonas Kneifl D. Rosin Oliver Röhrle Jörg Fehr AI4CE 21 13 0 13 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 32 2 0 24 Jan 2023
Predicting fluid-structure interaction with graph neural networks Rui Gao R. Jaiman AI4CE 21 7 0 09 Oct 2022
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
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
Kinematically consistent recurrent neural networks for learning inverse problems in wave propagation Wrik Mallik R. Jaiman J. Jelovica AI4CE 25 3 0 08 Oct 2021
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models S. Fresca Andrea Manzoni AI4CE 21 36 0 10 Jun 2021
PythonFOAM: In-situ data analyses with OpenFOAM and Python R. Maulik Dimitrios K. Fytanidis Bethany Lusch V. Vishwanath Saumil Patel AI4CE 13 13 0 17 Mar 2021
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition S. Fresca Andrea Manzoni AI4CE 21 212 0 28 Jan 2021
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves Claire E. Heaney Yuling Li Omar K. Matar Christopher C. Pain AI4CE 19 15 0 24 Nov 2020
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data Pranshu Pant A. Farimani AI4CE 16 12 0 21 Oct 2020
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
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 18 13 0 11 Jun 2020
A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs S. Fresca Luca Dede' Andrea Manzoni AI4CE 17 258 0 12 Jan 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016