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…☆119Updated last week
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.☆73Updated 11 months ago
- Immersed boundary - Fluid Structure Interaction solver with heat transfer☆11Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Deep Learning for Reduced Order Modelling☆100Updated 4 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆33Updated last year
- A Python package for spectral proper orthogonal decomposition (SPOD).☆114Updated 2 weeks ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆69Updated 2 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 7 years ago
- Wavelet Adaptive Block-Based solver for Interactions with Turbulence☆60Updated last week
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 months ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆18Updated last year
- RBniCS - reduced order modelling in FEniCS (legacy)☆113Updated 8 months ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆29Updated 2 years ago
- Poisson equation solver with finite difference method and multigrid☆65Updated 7 years ago
- redbKIT is a MATLAB library for reduced-order modeling of parametrized PDEs☆62Updated last year
- ☆16Updated 5 years ago
- Finite volume method applied to the advection-diffusion equation☆46Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆33Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆42Updated 7 years ago
- ☆20Updated 2 months ago
- The algorithmic differentation tool pyadjoint and add-ons.☆114Updated last week
- Script (with example) to compute the kinetic energy spectrum of periodic turbulent flows.☆36Updated 4 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Pythonic spectral proper orthogonal decomposition☆45Updated 3 years ago
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆69Updated 2 years ago
- A Computational Fluid Dynamics (CFD) course with Python☆104Updated last year