A fast neural emulator for interstellar chemistry
Astrochemical models are important tools to interpret observations of molecular and atomic species in different environments. However, these models are time-consuming, precluding a thorough exploration of the parameter space, leading to uncertainties and biased results. Using neural networks to simulate the behaviour of astrochemical models is a
Asensio Ramos, A. et al.
Fecha de publicación:
7
2024