mcekwonu / Hidden-Fluid-Mechanics-PytorchLinks
Hidden Fluid Mechanics in PyTorch
☆18Updated last year
Alternatives and similar repositories for Hidden-Fluid-Mechanics-Pytorch
Users that are interested in Hidden-Fluid-Mechanics-Pytorch are comparing it to the libraries listed below
Sorting:
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆31Updated 3 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆19Updated 2 years ago
- POD-PINN code and manuscript☆53Updated 10 months ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Yet another PINN implementation☆20Updated last year
- ☆41Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- Graph Convolutional Networks for Unstructured Flow Fields☆11Updated 3 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆71Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year
- Physics-informed radial basis network☆32Updated last year
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆21Updated 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
- ☆21Updated 4 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆13Updated last year
- ☆76Updated 10 months ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆91Updated 2 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- ☆19Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 8 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆84Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆33Updated 3 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆29Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆53Updated last year
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago