rezaakb / pinns-tf2View external linksLinks
PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
☆156May 23, 2024Updated last year
Alternatives and similar repositories for pinns-tf2
Users that are interested in pinns-tf2 are comparing it to the libraries listed below
Sorting:
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆813Feb 8, 2026Updated last week
- Physics-informed radial basis network☆36May 20, 2024Updated last year
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆118Aug 26, 2025Updated 5 months ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆45Aug 17, 2024Updated last year
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆19Nov 26, 2025Updated 2 months ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,561May 23, 2024Updated last year
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Jun 19, 2024Updated last year
- Implementation of PINNs in TensorFlow 2☆81Dec 12, 2025Updated 2 months ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- Deep Learning of Vortex Induced Vibrations☆99Feb 21, 2020Updated 5 years ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆58Sep 10, 2024Updated last year
- Data-guided physics-informed neural networks☆16Jul 16, 2024Updated last year
- Investigating PINNs☆727Aug 13, 2021Updated 4 years ago
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13Updated this week
- Flow field reconstruction and prediction of the 2D cylinder flow using data-driven physics-informed neural network combined with long sho…☆40Nov 11, 2024Updated last year
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆23Aug 3, 2023Updated 2 years ago
- An example of how to run pybamm in simulink☆17Aug 10, 2022Updated 3 years ago
- PINN program for computational mechanics☆131Apr 1, 2024Updated last year
- PyTorch Implementation of Physics-informed Neural Networks☆701May 20, 2024Updated last year
- ☆17Aug 13, 2024Updated last year
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆17Nov 1, 2022Updated 3 years ago
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 4 years ago
- ☆18May 25, 2024Updated last year
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆25Aug 3, 2024Updated last year
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆16Apr 26, 2022Updated 3 years ago
- Couple pybamm and openpnm to solve a thermal battery problem☆17Apr 25, 2024Updated last year
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆39Nov 2, 2024Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆39Apr 14, 2023Updated 2 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆172Aug 31, 2025Updated 5 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Apr 14, 2023Updated 2 years ago
- Basic implementation of physics-informed neural networks for solving differential equations☆97Dec 26, 2024Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆52Sep 30, 2021Updated 4 years ago
- Using deep reinforcement learning for refining meshes in computational fluid dynamics☆30Aug 7, 2023Updated 2 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Oct 21, 2024Updated last year
- Physics Informed Neural Network (PINN) for Burgers' equation.☆75Aug 21, 2024Updated last year
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 2 years ago
- Soving heat transfer problems using PINN with tf2.0☆21Jun 27, 2021Updated 4 years ago