DeepSPInN – deep reinforcement learning for molecular structure prediction from infrared and 13 C NMR spectra

DeepSPInI is a deep reinforcement learning method that predicts the molecular structure when given infrared and 13 C nuclear magnetic resonance spectra with an accuracy of 91.5%.