Supplementary Code for the paper "Speeding up astrochemical reaction networks with autoencoders and neural ODEs"
Paper at https://ml4physicalsciences.github.io/2023/files/NeurIPS_ML4PS_2023_52.pdf
Immanuel Sulzer, immanuel.sulzer@stud.uni-heidelberg.de Tobias Buck, tobias.buck@iwr.uni-heidelberg.de
Code for data set generation: https://bitbucket.org/tgrassi/latent_ode_paper/ as referenced in T. Grassi et al (2022). “Reducing the complexity of chemical reaction networks via interpretable autoencoders.” In: Astronomy & Astrophysics. arXiv:2104.09516