saiguruprasad / Computational-Fluid-MechanicsLinks
Codes for various problems solved using Finite Difference Method and Finite Volume Method.
☆12Updated 9 years ago
Alternatives and similar repositories for Computational-Fluid-Mechanics
Users that are interested in Computational-Fluid-Mechanics are comparing it to the libraries listed below
Sorting:
- CFD-DeepLearning-UNET☆19Updated 4 years ago
- Bayesian PINN codes to solve 2D/3D Navier Stokes for wind fields☆10Updated 2 years ago
- 这是一个基于 Python 有限元理论,算法与应用的仓库☆14Updated 6 years ago
- Predicting 2D Steady State Fluid Flow Fields using Convolutional Neural Networks☆10Updated 5 years ago
- FEM enhanced neural network☆20Updated 3 years ago
- Python tools for non-intrusive reduced order modeling☆20Updated 9 months ago
- DAFI: Ensemble based data assimilation and field inversion, repository for internal development☆62Updated 6 months 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…☆27Updated 7 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Updated 2 years ago
- ☆44Updated 3 years ago
- Reynolds stress turbulence closure models beyond the Boussinesq approximation☆13Updated 6 months ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆19Updated last month
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆37Updated 3 years ago
- Multi-head attention network for airfoil flow field prediction☆17Updated 3 years ago
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆11Updated 4 years ago
- Physics informed neural network for learning seepage flow models☆20Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆14Updated 3 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆15Updated 4 years ago
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆20Updated 3 years ago
- # XFEM_Fracture2D ### Description This is a Matlab program that can be used to solve fracture problems involving arbitrary multiple cr…☆56Updated 3 years ago
- 计算流体力学笔记及资料☆33Updated last year
- Scripts for the ANN publication submited to FEAD 2021☆14Updated 4 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆13Updated 6 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆89Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆60Updated 5 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 5 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆30Updated 2 years ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆23Updated last year
- ☆18Updated last year
- ☆21Updated last year