AmeyaJagtap / Conservative_PINNsView external linksLinks
We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continuity in the strong form along the sub-domain interfaces.
☆76Feb 1, 2023Updated 3 years ago
Alternatives and similar repositories for Conservative_PINNs
Users that are interested in Conservative_PINNs are comparing it to the libraries listed below
Sorting:
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆242Feb 1, 2023Updated 3 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆43Feb 1, 2023Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆107Apr 15, 2022Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆59Jan 25, 2022Updated 4 years ago
- ☆15Dec 20, 2020Updated 5 years ago
- Original implementation of fast PINN optimization with RBA weights☆68Sep 11, 2025Updated 5 months ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆88Aug 26, 2025Updated 5 months ago
- ☆54Oct 9, 2022Updated 3 years ago
- ☆10Mar 2, 2021Updated 4 years ago
- ☆241Oct 14, 2021Updated 4 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆271Oct 12, 2021Updated 4 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Dec 4, 2023Updated 2 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆17May 14, 2021Updated 4 years ago
- ☆45May 18, 2022Updated 3 years ago
- ☆199Feb 16, 2024Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆32Dec 24, 2021Updated 4 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆52Jan 10, 2023Updated 3 years ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆118Aug 26, 2025Updated 5 months ago
- ☆15Nov 20, 2023Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Jan 24, 2021Updated 5 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆522Nov 27, 2025Updated 2 months ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Apr 7, 2024Updated last year
- PINN-COVID analyzes a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs).☆23Oct 12, 2021Updated 4 years ago
- ☆22Oct 23, 2020Updated 5 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆10Oct 23, 2020Updated 5 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆172Aug 31, 2025Updated 5 months ago
- Hidden Fluid Mechanics☆353Jan 30, 2023Updated 3 years ago
- ☆385Dec 3, 2022Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆153Nov 21, 2021Updated 4 years ago
- ☆16Aug 6, 2024Updated last year
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 4 years ago
- ☆30Oct 6, 2022Updated 3 years ago
- A place to share problems solved with SciANN☆304Nov 6, 2023Updated 2 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,419Dec 8, 2023Updated 2 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆33Apr 15, 2023Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆40Jun 24, 2022Updated 3 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆132Oct 24, 2025Updated 3 months ago