MatthewGeleta / Numerical-methods-for-the-Cahn-Hilliard-equationLinks
Numerical schemes for the Cahn-Hilliard equation.
☆19Updated 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:
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆15Updated 4 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 4 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆23Updated 3 years ago
- ☆13Updated 2 years ago
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆12Updated last year
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆20Updated 8 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆14Updated last year
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- ☆12Updated 2 weeks ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆19Updated 3 weeks ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- Spectral methods in matlab☆12Updated 8 months ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆18Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆16Updated 4 years ago
- Code to simulate the Cahn-Hilliard equation☆20Updated 6 years ago
- 这是一个基于 Python 有限元理论,算法与应用的仓库☆14Updated 6 years ago
- PF-PINNs: physics-informed neural networks framework for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations☆25Updated 10 months ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆34Updated 2 years ago
- C++ implementation of the finite volume method with flux-limiting to solve 2-D compressible Euler Equations (Liska, 2003)☆13Updated 4 years ago
- ☆26Updated last year
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆16Updated 3 years ago
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆10Updated 10 months ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Updated 3 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 3 years ago
- A two-dimensional multiphase solver based on incompressible Navier-Stokes and conservative Allen-Cahn equations☆17Updated 8 years ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Updated 2 years ago