Radiation emulation with machine learning
This dataset was generated to learn the radiative heating process using machine learning. More specifically, the data captures the inputs and outputs of the ecRAD radiation scheme (Hogan & Bozzo 2018) using the Tripleclouds solver (Shonk & Hogan 2008). The goal is to learn a more efficient version of the radiation scheme using neural networks or other machine learning algorithm.