PINN-for-Poisson-Equation

A library for scientific machine learning and physics-informed learning

Code accompanying my blog post: So, what is a physics-informed neural network?

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

physics-informed neural network for elastodynamics problem

A Physics-Informed Neural Network to solve 2D steady-state heat equations.

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

The SciML Scientific Machine Learning Software Organization Website

A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software

NVFi in PyTorch (NeurIPS 2023)