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☆14Updated 2 years ago
- ☆41Updated 3 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆22Updated 2 years ago
- ☆17Updated last year
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆15Updated 3 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆21Updated 5 years ago
- Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆14Updated 2 weeks ago
- CNN model to predict the lift-drag ratio of airfoil☆15Updated 4 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆11Updated 2 years ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆22Updated 2 years ago
- ☆11Updated 9 months ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆11Updated 2 months ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆16Updated 4 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆51Updated last year
- ☆27Updated last year
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Yet another PINN implementation☆20Updated 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 7 months ago
- CFD-DeepLearning-UNET☆15Updated 4 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 6 months ago
- ☆22Updated 10 months ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- Data preprocess method on Physics-informed neural networks☆18Updated 6 months ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆21Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆27Updated 3 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…☆24Updated 2 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆79Updated last year
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆29Updated last year