solarradiativehydrodynamics

Modeling Solar Radiative Hydrodynamics using ResneNet and DenseNet-inspired Physics Informed Neural Networks

Background

This project was originally based on the work from the repository:

rhpinn: Radiative Hydrodynamics Physics Informed Neural Network
Copyright © [Cristoph U. Keller]

Requirements

• numpy
• astropy
• matplotlib
• TensorFlow

Opacity deep neural networks

Follow the instructions in the Opacity subfolder to create the Opacity/opacity_rosseland.keras and Opacity/opacity_500nm.keras deep neural networks that output the opacity based on temperature and pressure.

Bifrost simulation data

Please Download data as cited in the original Repository