Cao-WenBo / TSONNLinks
☆29Updated 9 months ago
Alternatives and similar repositories for TSONN
Users that are interested in TSONN are comparing it to the libraries listed below
Sorting:
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆31Updated last year
- MIONet: Learning multiple-input operators via tensor product☆38Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆69Updated last week
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆84Updated last year
- POD-PINN code and manuscript☆54Updated 11 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆33Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆74Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆57Updated 9 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆31Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Deep finite volume method☆22Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- ☆47Updated 3 years ago
- ☆52Updated 10 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆225Updated 10 months ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆17Updated last year
- ☆112Updated 8 months ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆53Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆98Updated 3 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆117Updated 2 years ago
- PINN in solving Navier–Stokes equation☆113Updated 5 years ago
- Modified Meshgraphnets with more features☆54Updated 8 months ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago