Implementation of PINNs in TensorFlow 2
☆81Dec 12, 2025Updated 10 months ago
Alternatives and similar repositories for PINN_TF2
Users that are interested in PINN_TF2 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆23Jun 19, 2024Updated 2 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆268Nov 30, 2023Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Apr 28, 2023Updated 3 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Sep 12, 2020Updated 6 years ago
- Implementation of PINNs in PyTorch☆10Apr 9, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆18Apr 26, 2022Updated 4 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆42May 12, 2022Updated 4 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
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆108Oct 24, 2022Updated 4 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 5 years ago
- Some examples of using PINN to solve PDEs numerically☆15May 21, 2023Updated 3 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆44Jul 12, 2023Updated 3 years 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.
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆87Aug 4, 2023Updated 3 years ago
- ☆20Dec 22, 2025Updated 10 months ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆170May 23, 2024Updated 2 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆191Feb 25, 2021Updated 5 years ago
- Data-guided physics-informed neural networks☆18Jul 16, 2024Updated 2 years ago
- Implementation of physics informed neural networks in pytorch☆11Sep 17, 2022Updated 4 years ago
- ☆46Mar 4, 2025Updated last year
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆95Oct 25, 2023Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆115Apr 15, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Finite Difference simulation of the Wave Equation (Double-slit experiment)☆25May 8, 2025Updated last year
- MIONet: Learning multiple-input operators via tensor product☆47Nov 13, 2022Updated 3 years ago
- A differentiable astrophysics simulator in JAX☆12Oct 27, 2026Updated last week
- PINN paper that will be submitted to Journal of Computational Science☆13Sep 11, 2026Updated last month
- Investigating PINNs☆791Aug 13, 2021Updated 5 years ago
- ☆17Jan 18, 2024Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆300Oct 12, 2021Updated 5 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,558Dec 8, 2023Updated 2 years ago
- Physics-informed neural networks with hard constraints for inverse design☆166Nov 21, 2021Updated 4 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.
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆37Aug 2, 2022Updated 4 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆213Jul 16, 2020Updated 6 years ago
- ☆122Mar 15, 2024Updated 2 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆26Jul 3, 2023Updated 3 years ago
- ☆434Dec 3, 2022Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆232Feb 21, 2023Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆165Jul 16, 2020Updated 6 years ago