Prediction of the Magnetic Interaction between Atoms using a Neural Network

The main goal of the analysis carried out in this paper was to establish the best algorithm among four neural network algorithms chosen to approach and solve the problem of predicting scalar coupling constants between two atoms within the same molecule. It will be shown that the most important aspect of the analyzed deep neural network is related to the input features on which the training is done.