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This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks
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]
A Physics-Informed Neural Network to solve 2D steady-state heat equations.
physics-informed neural network for elastodynamics problem
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)