ritvik03 / DeepSteadyFlowsLinks
Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies
☆11Updated 4 years ago
Alternatives and similar repositories for DeepSteadyFlows
Users that are interested in DeepSteadyFlows are comparing it to the libraries listed below
Sorting:
- Multi-head attention network for airfoil flow field prediction☆13Updated 2 years ago
- ☆38Updated 3 years ago
- CNN model to predict the lift-drag ratio of airfoil☆15Updated 4 years ago
- Data preprocess method on Physics-informed neural networks☆16Updated 4 months ago
- Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆14Updated last month
- Physics-informed neural networks for identifying material properties in solid mechanics☆19Updated last year
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆22Updated last year
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 4 years ago
- ☆9Updated 7 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago
- CFD-DeepLearning-UNET☆14Updated 4 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 5 months ago
- Blood Flow Modeling with Physics-Informed Neural Networks☆16Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆47Updated last year
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆18Updated last year
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆20Updated 5 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆11Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆16Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆40Updated 3 years ago
- ☆17Updated 8 months ago
- ☆15Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆19Updated 4 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)☆30Updated this week
- Predicting 2D Steady State Fluid Flow Fields using Convolutional Neural Networks☆10Updated 4 years ago
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆23Updated 3 weeks ago
- ☆27Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago