individual convolutional autoencoders (iCAEs) for low-dimensional parametrization
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Updated
Nov 24, 2022 - Python
individual convolutional autoencoders (iCAEs) for low-dimensional parametrization
Implementation of a lid driven cavity flow simulator using regular finite differences method with python.
Sensor nonlinear channel modeling
Multiple fluid models and scenarios are solved using FEniCS.
Simulate the flow of a newtonian fluid in a lid-drive cavity with internal obstacles
This project aims to solve the 2D Navier-Stokes equations using the finite difference method for single-phase laminar flow and verify results using the benchmark lid cavity test.
A Parallel Integrated Computational-Statistical Platform for Homogeneous Turbulent Transport
Framework to learn effective dynamics and couple a macro scale simulator with a fast neural network latent propagator.
Shallow water simulator in a rectangular tub that uses the Navier Stokes Equations to create a simulation.
Solves Navier-Stokes equations for the 2D cavity flow using vorticity-stream function formulation
Приведена архитектура нейронной сети, основанной на преобразовании Фурье для решения УЧП Навье-Стокса
Basic CFD simulation of thermally driven fluid flow and solid-liquid phase change problems
Python implementation of solvers for differential algebraic equation's (DAE's) that should be added to scipy one day.
Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
Python script solving the Burgers' equation (équation de Burgers) 1D by using FFT pseudo-spectral method.
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
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…
PDEBench: An Extensive Benchmark for Scientific Machine Learning
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