Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
☆230Feb 21, 2023Updated 3 years ago
Alternatives and similar repositories for Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
Users that are interested in Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆24Nov 29, 2022Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆29Apr 20, 2024Updated 2 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆206Apr 7, 2024Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆285Jan 28, 2021Updated 5 years ago
- Investigating PINNs☆776Aug 13, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- PINN program for computational mechanics☆149Apr 1, 2024Updated 2 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆30Nov 26, 2023Updated 2 years ago
- PINN in solving Navier–Stokes equation☆136Jun 7, 2020Updated 6 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Apr 14, 2023Updated 3 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆680May 31, 2026Updated 2 months ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆50Aug 17, 2024Updated 2 years ago
- ☆101Nov 25, 2024Updated last year
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆16Dec 14, 2021Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆163Jan 20, 2022Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Physics-guided neural network framework for elastic plates☆51Mar 24, 2022Updated 4 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆79Apr 17, 2026Updated 4 months ago
- ☆426Dec 3, 2022Updated 3 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆185May 30, 2026Updated 2 months 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
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆63Apr 19, 2026Updated 3 months ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 4 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆249Oct 21, 2024Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆164Jul 16, 2020Updated 6 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.
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆29May 8, 2023Updated 3 years ago
- In this study, we propose a novel deep learning model named as the Finite-element-informed neural network (FEI-NN), inspired from finite …☆18Jul 6, 2024Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆42Apr 14, 2023Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆367Dec 20, 2023Updated 2 years ago
- The code is for two phase demonstration as example 1 shown in the paper - Gao, Yi, and Yongming Liu. "Reliability-based topology optimiza…☆12Dec 27, 2021Updated 4 years ago
- ☆174Jun 27, 2022Updated 4 years ago
- A library for scientific machine learning and physics-informed learning☆4,373Updated this week
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆98Apr 4, 2024Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆77Sep 11, 2025Updated 11 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,090Feb 11, 2026Updated 6 months ago
- Basic implementation of physics-informed neural network with pytorch.☆102Sep 26, 2022Updated 3 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆214Jul 16, 2020Updated 6 years ago
- A place to share problems solved with SciANN☆311Nov 6, 2023Updated 2 years ago
- ☆54Sep 13, 2022Updated 3 years ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆20Sep 6, 2023Updated 2 years ago
- ☆46Jul 31, 2022Updated 4 years ago