PaddlePaddle / PaddleCFDLinks
PaddleCFD is a deep learning toolkit for surrogate modeling, equation discovery, shape optimization and flow-control strategy discovery in the field of fluid mechanics.
☆46Updated last month
Alternatives and similar repositories for PaddleCFD
Users that are interested in PaddleCFD are comparing it to the libraries listed below
Sorting:
- ☆45Updated 5 months ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆236Updated 5 months ago
- Modified Meshgraphnets with more features☆56Updated 9 months ago
- PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.☆415Updated this week
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 10 months ago
- A deep learning empowered open-source platform for reacting flow simulations☆191Updated 3 weeks ago
- ☆30Updated 10 months ago
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆71Updated 3 years ago
- ☆114Updated 9 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆33Updated last year
- ☆60Updated 7 months ago
- ☆52Updated 10 months ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆34Updated 3 years ago
- ☆24Updated last year
- 采用PINN/ResPINN对两种偏微分方程（Burgers&Allen-Cahn）的训练与求解☆15Updated 4 years ago
- Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method☆63Updated 3 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
- A GNN-based PDE solver without pre-computed data☆36Updated 4 months ago
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆39Updated 10 months ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆236Updated 2 weeks ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year
- Tutorials on deep learning, Python, and dissipative particle dynamics☆201Updated 3 years ago
- ☆50Updated last week
- Deep finite volume method☆22Updated last year
- Physics-informed neural networks for two-phase flow problems☆69Updated last month
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆65Updated 3 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆38Updated 3 years ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆19Updated 2 years ago
- ☆34Updated 6 months ago