Habibu-Ahmad/Physics-Informed-Neural-Network-for-Lid-Driven-Cavity-Flow

A Physics-Informed Neural Network (PINN) implementation in TensorFlow for solving the 2D steady-state Navier–Stokes and Burger's equations .

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AJFMAHFOUF/4DVAR_BURGERS_1D

4D-Var assimilation with 1D Burgers model

Language: Fortran - Size: 15.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

whalenpt/rkstiff

Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.

Language: Python - Size: 3.7 MB - Last synced at: 25 days ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 1

veydantkatyal/PINN-1D-burger-equation

A PyTorch-based implementation of Physics-Informed Neural Networks (PINNs) to solve the 1D Burgers' Equation by embedding physical laws directly into the learning process using automatic differentiation and collocation points.

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heruslu/Numerical-Methods-for-CFD

MATLAB functions and scripts for 1D Computational Fluid Dynamics

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RePlasma/LiuCarleman2021

Efficient quantum algorithm for dissipative nonlinear differential equations

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skoohy/GPT-PINN

Generative Pre-Trained Physics-Informed Neural Networks Implementation

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alsvinn/alsvinn

The fast Finite Volume simulator with UQ support.

Language: C++ - Size: 5.12 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 26 - Forks: 7

soumyasen1809/OpenMP_C_12_steps_to_Navier_Stokes

Parallelization attempt to the “12 steps to Navier–Stokes” lessons using OpenMP/C

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ansh63766/CH5710_COURSE_PROJECT

This repository contains all the code and files developed for our course project "CH5710 - Applications of Machine Learning in Reaction Engineering" at IIT Madras, Department of Chemical Engineering.

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iwhoppock/viscous_burgers

Two solutions, written in MATLAB, for solving the viscous Burger's equation. They are both spectral methods: the first is a Fourier Galerkin method, and the second is Collocation on the Tchebyshev-Gauß-Lobatto points.

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JMcardenas/CS4ML

This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.

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ailanxier/fno1d

利用 Mindspore 和傅里叶神经算子（Fourier Neural Operator，FNO）求解一维伯格斯方程（1-d Burgers' equation）

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314arhaam/burger-pinn

A Physics-Informed Neural Network for solving Burgers' equation.

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Francesco-Zeno-Costanzo/PDE

small examples of solving simple pde

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ray-chew/mmidk

Course material I created for the tutorial "Mathematical Modelling in Climate Research" at the Freie Universität Berlin

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ray-chew/data_assimilation_examples

Simple data assimilation studies

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L1ssandra/DG-with-WENO-Limiter

A simple Fortran code of DG+KXRCF Detector+WENO Limiter solving 2D Burgers Equation

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sachabinder/Burgers_equation_simulation

Python script solving the Burgers' equation (équation de Burgers) 1D by using FFT pseudo-spectral method.

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nishantsule/Burgers-Equation

Finite-difference solution to 1D viscid Burger's equation

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souryajitroy/Pseudo-Spectral-Methods

Some of my own pseudo-spectral method codes

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souryajitroy/Non-Linear-PDE-course-codes

Assignment codes from my Non -linear PDE course in ICTS TIFR

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saitoasukakawaii/Burgers

Solving 1D Burger's equation using discontinuous Galerkin method

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mino2357/Sample_program_PDE

偏微分方程式の数値計算サンプル．バグがまだ埋まってると思う．

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xavierdechamps/Burgers_1D

Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.

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iwhoppock/inviscid_burgers

Solution to Burger's Equation (inviscid), written in C, using Adams-Bashforth Methods. These methods include the one, two, and three step algorithms.

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ddrous/hyperbolic-solvers

A bunch of solvers for some of the most common hyperbolic problems in C.

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kimy-de/pinns

Physics-informed neural networks (PINNs)

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Junxiao-Zhao/Curve_fitting_2D_Multi_variables

Fitting 2D curves or Multi-variable partial Differential Equations

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alanmatzumiya/pySpectralPDE

PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochastic version.

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predsci/HUX

Heliospheric Upwind eXtrapolation Technique (HUX)

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NohanJoemon/PDE-Datasets

This repository contains u,x,t datasets for 4 different Partial Differential Equations(PDEs) at various noise levels

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whalenpt/spida

Spectral Integration and Differentiation Algorithms. Includes FFTs, Chebyshev Transforms, and Hankel transforms. Exponential time differencing and integrating factor Runge-Kutta methods.

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gagocarrilloedgar/Burgers1D_Solver

This report is developed with the purpose of giving the student a better understanding of what is turbulence modelling and its analysis. A brief introduction about the Burger's equation and the theories behind the models used later on the report. The study consist in the analysis of the Burger's equation in the Fourier space analysing the behaviour of the total energy as a function of the Reynolds Number [Re], the number of modes [N] and finally the effect of these two on the number of iterations of the model. Finally a comparison between LES [Large Eddy Simulation] and DNS [Direct Numerical Simulation] is made in order to analysis when the increase in computational cost is necessary.

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mschiffn/volterra_burgers

Evaluation of an analytical Volterra series solution to the Burgers equation

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shardoolk/NMPDE-project-

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