MatthewGeleta / Numerical-methods-for-the-Cahn-Hilliard-equationLinks
Numerical schemes for the Cahn-Hilliard equation.
☆18Updated 8 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
Sorting:
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆15Updated 3 years ago
- A two-dimensional multiphase solver based on incompressible Navier-Stokes and conservative Allen-Cahn equations☆17Updated 7 years ago
- Code to simulate the Cahn-Hilliard equation☆19Updated 6 years ago
- Discontinuous Galerkin methods to solve PDE☆14Updated 7 years ago
- ITHACA-SEM - In real Time Highly Advanced Computational Applications for Spectral Element Methods☆20Updated 3 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- Machine learning of linear differential equations using Gaussian processes☆24Updated 7 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆13Updated 2 months ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆32Updated last year
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- Python tools for non-intrusive reduced order modeling☆19Updated 2 months ago
- My codes written using Fenics☆21Updated 2 months ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆37Updated 9 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆24Updated 3 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 4 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆25Updated last year
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago
- ☆21Updated 4 years ago
- the proper orthogonal decomposition(POD) and dynamic mode decomposition(DMD) methods☆18Updated 5 years ago
- POD-PINN code and manuscript☆51Updated 7 months 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…☆20Updated 4 years ago
- An implementation of the smoothed particle hydrodynamics based on the Philip Mocz's paper☆19Updated 7 months 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
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- Companion code for Data-Driven Resolvent Analysis☆19Updated 4 years ago
- Tutorial on a number of topics in Deep Learning☆35Updated 5 years ago