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Researchers develop platform that integrates 2D polaritons with detection system for miniaturized spectrometers

Polaritons are coupled excitations of electromagnetic waves with either charged particles or vibrations in the atomic lattice of a given material. One of their most attractive properties is the capacity to confine light at the nanoscale, which is even more extreme...

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...