Recent Advancements in Graphene Heterojunction Optoelectronic Devices, from Photodetection to Neuromorphic Computing
DOI:
https://doi.org/10.54097/4j3xfv46Keywords:
Graphene heterojunction; photoelectric detection; optical storage; optoelectronic computing; artificial neural vision system.Abstract
Graphene heterojunctions are new heterostructures with high transmittance, high carrier mobility, and effective separation of photogenerated carriers. This review is devoted to the mechanisms of interfacial charge transfer, trapping, and release, with a particular focus on their effect on photodetection and optoelectronic computing. To do this, these devices use photovoltaic, internal photoemission, and tunneling effects to get responsivity (R) and detectivity (D*) significantly higher than conventional detectors can provide. Graphene heterojunctions create memristive states in optoelectronic computing through nanostructuring. The mechanism behind it depends on the fact that carbon sp2 -sp3 hybridization is reversibly modulated by an applied external electric field, which works at small bias voltages (< 1 V). Such a low-voltage reversible hybrid control does not just provide the device with low-power computing features, but also allows the creation of biocompatible information systems. Graphene heterojunctions make possible the construction of artificial neural systems and have extensive future applications in various spheres of application, including consumer electronics.
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