Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction

26 May 2019

Papers citing "Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction"

26 / 26 papers shown

Title
LaPON: A Lagrange's-mean-value-theorem-inspired operator network for solving PDEs and its application on NSE Siwen Zhang Xizeng Zhao Zhengzhi Deng Zhaoyuan Huang Gang Tao Nuo Xu Zhouteng Ye 14 0 0 18 May 2025
Wave Physics-informed Matrix Factorizations Harsha Vardhan Tetali J. Harley B. Haeffele 46 0 0 21 Dec 2023
Investigating the Ability of PINNs To Solve Burgers' PDE Near Finite-Time BlowUp Dibyakanti Kumar Anirbit Mukherjee 31 2 0 08 Oct 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 39 30 0 29 May 2023
Invariant preservation in machine learned PDE solvers via error correction N. McGreivy Ammar Hakim AI4CE PINN 34 8 0 28 Mar 2023
A conceptual model for leaving the data-centric approach in machine learning S. Scher Bernhard C. Geiger Simone Kopeinik A. Trugler Dominik Kowald 33 0 0 07 Feb 2023
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback N. Benjamin Erichson S. H. Lim Michael W. Mahoney 26 6 0 01 Dec 2022
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain Pu Ren Chengping Rao Su Chen Jian-Xun Wang Hao Sun Yang Liu 44 41 0 25 Oct 2022
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions Ryan Lopez P. Atzberger AI4CE 32 8 0 10 Jun 2022
Towards Size-Independent Generalization Bounds for Deep Operator Nets Pulkit Gopalani Sayar Karmakar Dibyakanti Kumar Anirbit Mukherjee AI4CE 24 5 0 23 May 2022
Learning continuous models for continuous physics Aditi S. Krishnapriyan A. Queiruga N. Benjamin Erichson Michael W. Mahoney AI4CE 32 33 0 17 Feb 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 18 10 0 11 Feb 2022
A Review of Physics-based Machine Learning in Civil Engineering S. Vadyala S. N. Betgeri J. Matthews Elizabeth Matthews AI4CE 25 152 0 09 Oct 2021
Model reduction for the material point method via an implicit neural representation of the deformation map Julius Berner Maurizio M. Chiaramonte E. Grinspun Kevin Carlberg 29 15 0 25 Sep 2021
Deep Learning Enhanced Dynamic Mode Decomposition D. J. Alford-Lago C. Curtis Alexander T. Ihler Opal Issan 32 34 0 10 Aug 2021
Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference N. Sawant Boris Kramer Benjamin Peherstorfer AI4CE 14 28 0 06 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 46 65 0 02 Jul 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd D. Murphey 29 71 0 25 Jun 2021
Physics perception in sloshing scenes with guaranteed thermodynamic consistency B. Moya Alberto Badías D. González Francisco Chinesta Elías Cueto 35 14 0 24 Jun 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 48 100 0 26 Apr 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 54 829 0 28 Jan 2021
Lipschitz Recurrent Neural Networks N. Benjamin Erichson Omri Azencot A. Queiruga Liam Hodgkinson Michael W. Mahoney 30 107 0 22 Jun 2020
Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database M. Buzzicotti F. Bonaccorso P. C. D. Leoni Luca Biferale AI4CE 28 51 0 16 Jun 2020
Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty Nicholas Galioto Alex Gorodetsky 17 32 0 04 Mar 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 43 2,029 0 08 Oct 2019
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability Shaowu Pan Karthik Duraisamy 23 136 0 09 Jun 2019