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
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 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
- 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
- Machine learning of linear differential equations using Gaussian processes☆24Updated 6 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆28Updated 3 years ago
- Tutorial on a number of topics in Deep Learning☆35Updated 5 years ago
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 2 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated last month
- Discontinuous Galerkin methods to solve PDE☆14Updated 6 years ago
- 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
- ☆12Updated 10 months ago
- the proper orthogonal decomposition(POD) and dynamic mode decomposition(DMD) methods☆16Updated 5 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆24Updated last year
- ITHACA-SEM - In real Time Highly Advanced Computational Applications for Spectral Element Methods☆20Updated 2 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
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆29Updated last year
- Spectral methods in matlab☆10Updated last week
- ☆24Updated last year
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆17Updated 3 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
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆23Updated 11 months ago
- My codes written using Fenics☆18Updated 4 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆25Updated 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
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆35Updated 7 months ago