Assessing near-field properties from the far-field characteristics of coupled nanostructures using deep learning

In this work, we study the problem of coupling between nanostructures by means of artificial neural networks. We consider the perturbation of the optical response of a nanoparticle induced by nanostructures in its close proximity. We train an ANN to predict the near-field characteristics of the system based on the far-field scattering spectra readily achievable from the experiment.