A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
-
Updated
Mar 19, 2024 - Jupyter Notebook
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
PDEBench: An Extensive Benchmark for Scientific Machine Learning
Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume…
ExaDG - High-Order Discontinuous Galerkin for the Exa-Scale
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms and non-conservative components.
Implementation of the 12 steps approach to the Navier-Stokes equations, essential for simulating fluid dynamics.
FV based Navier-Stokes / Transport Equation / Conservation Law Solver for Procedural World Simulation. Designed for CFD learning purposes.
Python script solving the Burgers' equation (équation de Burgers) 1D by using FFT pseudo-spectral method.
My attempt at fluid simulation with the Navier Stokes equations
Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
This repository introduces Partial Differential Equation Solver using neural network that can learn resolution-invariant solution operators on Navier-Stokes equation. Solving PDE is the core subject of numerical simulation and is widely used in science and engineering, from molecular dynamics to flight simulation, and even weather forecasting.
A rewrite of my fluid simulation project entirely in Rust
Basic CFD simulation of thermally driven fluid flow and solid-liquid phase change problems
PDE solver focused on Navier-Stokes (and related) equations with arbitrary boundary conditions, employing Fourier (FC-Gram) expansions. Parallelized using MPI-OpenMP-CUDA.
Python implementation of solvers for differential algebraic equation's (DAE's) that should be added to scipy one day.
It uses Navier-Stokes equation as the physical model, the numerical solution obtained by real-time calculation includes scalar and velocity fields displayed in the OpenGL control. Users have a choice of 64x64 and 128x128 resolutions and 7 color options.|使用纳维-斯托克斯方程作为物理模型,实时计算得到的数值解便是标量场及速度场的分布情况,并显示在OpenGL控件中。用户有64x64和128x128两种分辨率以及7种颜色选项可供选择。
Приведена архитектура нейронной сети, основанной на преобразовании Фурье для решения УЧП Навье-Стокса
This repository contains the MATLAB implementation of popular numerical methods in Computation Fluid dynamics. Starting from simple methods like Gauss Elimination, ADI method to advance methods like Rhie-chow interpolation, SIMPLE are implemented. This was done as a part of the CFD course offered at IIT Gandhinagar 2021.
Finite-difference PDE solver
Add a description, image, and links to the navier-stokes-equations topic page so that developers can more easily learn about it.
To associate your repository with the navier-stokes-equations topic, visit your repo's landing page and select "manage topics."