matthiasnwt / fast-poisson-solverLinks
The Poisson equation is an integral part of many physical phenomena, yet its computation is often time-consuming. This module presents an efficient method using physics-informed neural networks (PINNs) to rapidly solve arbitrary 2D Poisson problems.
☆27Updated 2 years ago
Alternatives and similar repositories for fast-poisson-solver
Users that are interested in fast-poisson-solver are comparing it to the libraries listed below
Sorting:
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆112Updated 2 weeks ago
- Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.☆71Updated 8 months ago
- ☆20Updated 3 weeks ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆27Updated 2 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- ☆69Updated last year
- ☆103Updated last year
- Poisson equation solver with finite difference method and multigrid☆64Updated 7 years ago
- Immersed boundary - Fluid Structure Interaction solver with heat transfer☆11Updated 10 months ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- multiphenics - easy prototyping of multiphysics problems in FEniCS☆47Updated last year
- NodeLab is a simple MATLAB-repository for node-generation and adaptive refinement for testing, and implementing various meshfree methods …☆31Updated 6 months ago
- RBniCS - reduced order modelling in FEniCS (legacy)☆110Updated 5 months ago
- Monolithic Fluid-Structure Interaction (FSI) solver☆69Updated 4 months ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆67Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆109Updated this week
- redbKIT is a MATLAB library for reduced-order modeling of parametrized PDEs☆60Updated 11 months ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆15Updated last year
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆68Updated 2 years ago
- We present a user-friendly open-source Matlab package for stochastic data analysis that enables to perform a standard analysis of given t…☆33Updated 2 years ago
- CFD course that I teach in the Chemical Engineering Department at the University of Utah - CHEN6355.☆61Updated 6 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- Repository for project codes related to turbulence modelling.☆11Updated 10 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
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆14Updated 3 years ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆11Updated 9 months ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago