matthiasnwt / fast-poisson-solver
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.
☆19Updated last year
Alternatives and similar repositories for fast-poisson-solver:
Users that are interested in fast-poisson-solver are comparing it to the libraries listed below
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆19Updated last month
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆27Updated last year
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆17Updated 3 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
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆27Updated 5 months ago
- Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.☆69Updated 4 months ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- A library for dimensionality reduction on spatial-temporal PDE☆64Updated 11 months ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆25Updated last year
- ☆22Updated 2 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Solving inverse problems using conditional invertible neural networks.☆33Updated 4 years ago
- ☆21Updated 3 weeks ago
- Pseudospectral Kolmogorov Flow Solver☆38Updated last year
- ☆28Updated 2 years ago
- ☆35Updated last year
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆28Updated 4 months ago
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆38Updated 11 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆59Updated 2 months ago
- Solve Poisson equation on arbitrary 2D domain using the finite element method.☆26Updated 9 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆23Updated 11 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- ☆14Updated 3 years ago
- ☆25Updated 8 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆23Updated last year
- ☆31Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆65Updated 4 months ago
- Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…☆36Updated 9 months ago
- Deep finite volume method☆21Updated 9 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆58Updated 8 months ago