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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. Scheme of the GrapheNet framework. Image...

Researchers design a graphene-based ‘electronic tongue’ that detects liquid differences, spoilage, and food safety with AI accuracy

Researchers from Penn State University and NASA Goddard Space Flight Center recently developed an 'electronic tongue' based on a graphene-based ion-sensitive field-effect transistor, capable of identifying differences in similar liquids, such as milk with varying...