Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357
☆11Oct 23, 2020Updated 5 years ago
Alternatives and similar repositories for PPINN
Users that are interested in PPINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆34Apr 15, 2023Updated 3 years ago
- Official code for DPM : A Novel Training Method for Physics-Informed Neural Networks in Extrapolation☆10Nov 2, 2021Updated 4 years ago
- CU-BEN serial version: geometric and material nonlinear static and transient dynamic structural analysis/ linear acoustic fluid structure…☆11Apr 19, 2020Updated 6 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆109Apr 15, 2022Updated 4 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
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆40Sep 11, 2023Updated 2 years ago
- Workshops on CFD at the University of Houston☆15Mar 18, 2019Updated 7 years ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 3 years ago
- The Gerris based Solid-Fluid system solver☆13Apr 20, 2021Updated 5 years ago
- Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks☆16May 2, 2022Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆91Aug 26, 2025Updated 8 months ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 5 years ago
- This repository is a collection of user elements for FEAP and generated using AceGen☆12Aug 26, 2021Updated 4 years ago
- nelson website☆12Dec 27, 2025Updated 4 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆262Feb 1, 2023Updated 3 years ago
- Compiling Custom solvers☆15Jul 6, 2019Updated 6 years ago
- ☆258Oct 14, 2021Updated 4 years ago
- ☆35Jan 29, 2021Updated 5 years ago
- Duke Machine Learning Winter School 2019☆27Jan 9, 2019Updated 7 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Sep 19, 2020Updated 5 years ago
- postProcessing tool for OpenFOAM, transform OpenFOAM fields to one single file by columns☆17May 11, 2021Updated 4 years ago
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- JAX tutorials for PyTorch users☆14Feb 18, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- LES-ML closures for Kraichnan turbulence☆19Feb 3, 2020Updated 6 years ago
- Standardized Non-Intrusive Reduced Order Modeling☆13Nov 30, 2022Updated 3 years ago
- Scripts and functions to calculate and investigate Granger causality in neuroscience☆11Mar 11, 2021Updated 5 years ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Mar 18, 2024Updated 2 years ago
- A curated list of resources to help with computational research.☆21Jun 11, 2022Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆79Feb 1, 2023Updated 3 years ago
- The example codes discussed in the course are available here.☆18May 4, 2021Updated 5 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- ☆12Jan 6, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Deep Learning of Vortex Induced Vibrations☆100Feb 21, 2020Updated 6 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆15Jun 27, 2025Updated 10 months ago
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Dec 4, 2019Updated 6 years ago
- Dynamic mode decomposition in Python☆13Jun 9, 2015Updated 10 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆34Mar 19, 2026Updated last month
- PyDV: Python Data Visualizer☆15Feb 17, 2026Updated 2 months ago
- ☆13Apr 7, 2022Updated 4 years ago