Best Materials Science Hack Challenge 1

This challenge will have hackers analyze crystallographic nodal data of typical microstructures found in formed metals to attempt to reproduce them with a desired grain size distribution. Hackers will implement RNN, GAN or any AI network to learn the sequential assignment of orientations on the crystallographic nodal graph to reproduce the learned distributions. Typically simulations like these on a large scale can take weeks to months to run, so any gains in performance will be rewarded bonus points! Grains Microstructure Challenge - Attached is a .docx file explaining the challenge - Attached is a text file of example data that hackers will have to generate https://drive.google.com/drive/folders/1r-F1WzfE6OyOyIOgS0z-rmwx6UCLuwHn?usp=sharing The winning team will receive 600 dollars!