MatthewGeleta / Numerical-methods-for-the-Cahn-Hilliard-equation
Numerical schemes for the Cahn-Hilliard equation.
☆17Updated 7 years ago
Alternatives and similar repositories for Numerical-methods-for-the-Cahn-Hilliard-equation:
Users that are interested in Numerical-methods-for-the-Cahn-Hilliard-equation are comparing it to the libraries listed below
- Code to simulate the Cahn-Hilliard equation☆18Updated 5 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆14Updated 3 years ago
- A two-dimensional multiphase solver based on incompressible Navier-Stokes and conservative Allen-Cahn equations☆17Updated 7 years ago
- Implementation of the model presented in the publication 'A simple parallel solution method for the Navier-Stokes Cahn-Hilliard equations…☆14Updated 4 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- ITHACA-SEM - In real Time Highly Advanced Computational Applications for Spectral Element Methods☆20Updated 2 years ago
- ☆19Updated 7 years ago
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Discontinuous Galerkin methods to solve PDE☆14Updated 6 years ago
- 这是一个基于 Python 有限元理论，算法与应用的仓库☆13Updated 5 years ago
- Repository for programmes used in the publication "High Accuracy Benchmark Problems for Allen-Cahn and Cahn-Hilliard Dynamics"☆11Updated last year
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆19Updated 3 years ago
- Compute the motion of droplets and particles in Stokes flows in axisymmetric domains using the Boundary Element Method (BEM) or the Spect…☆13Updated 6 years ago
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆7Updated last month
- This repository contains the MATLAB implementation of popular numerical methods in Computation Fluid dynamics. Starting from simple meth…☆11Updated 3 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆29Updated last year
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated last month
- Laminar flow prediction using graph neural networks☆27Updated 2 months ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- An implementation of the smoothed particle hydrodynamics based on the Philip Mocz's paper☆19Updated 4 months ago
- OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil☆25Updated last year
- Physics-informed neural networks for highly compressible flows 🧠🌊☆25Updated last year
- Implementations and continuation of some standard computational fluid dynamics problems using the finite volume method☆9Updated last month
- In computational fluid dynamics (CFD), the SIMPLE algorithm is a widely used numerical procedure to solve the Navier–Stokes equations. SI…☆15Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆23Updated last year
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆29Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆16Updated 2 years ago
- ☆24Updated last year