Machine-learning prediction of infrared spectra of interstellar polycyclic aromatic hydrocarbons

Peter Kovacs, Xiaosi Zhu, Jesus Carrete +2

We design and train a neural network (NN) model to efficiently predict the infrared spectra of interstellar polycyclic aromatic hydrocarbons (PAHs) with a computational cost many o…