JB55Matthews / PinnDE
PinnDE: A Python library for solving differential equations with physics informed neural networks and deep operator networks
☆16Updated 2 months ago
Alternatives and similar repositories for PinnDE:
Users that are interested in PinnDE are comparing it to the libraries listed below
- ☆11Updated 2 years ago
- B-PINN - Jax - HMC tutorial☆15Updated last year
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆97Updated last week
- ☆41Updated last year
- PDE Preserved Neural Network☆42Updated 6 months ago
- ☆42Updated last month
- ☆100Updated 6 months ago
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆27Updated 5 months ago
- PINN program for computational mechanics☆95Updated 9 months ago
- physics-informed neural network for elastodynamics problem☆126Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆37Updated 8 months ago
- ☆52Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆29Updated 2 years ago
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- ☆62Updated last month
- XPINN code written in TensorFlow 2☆27Updated last year
- PINN in solving Navier–Stokes equation☆83Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆75Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆80Updated 2 years ago
- ☆22Updated 7 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆83Updated 3 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆60Updated 3 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆115Updated 4 months ago
- PINN for obtaining WSS from sparse data☆62Updated 11 months ago
- POD-PINN code and manuscript☆47Updated 2 months ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆54Updated 3 years ago
- Applications of PINOs☆112Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆64Updated 2 years ago
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆25Updated 2 years ago