Researchers develop GrapheNet: a deep learning framework for predicting the physical and electronic properties of nanographenes using images

Researchers from ISMN-CNR have introduced GrapheNet, a deep learning framework based on an Inception-Resnet architecture using image-like encoding of structural features for the prediction of the properties of nanographenes.