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

​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… Read More »​Researchers develop GrapheNet: a deep learning framework for predicting the physical and electronic properties of nanographenes using images