Graphene oxide composite enables a flexible memristor for low-light artificial vision

Researchers from Hebei GEO University and Shijiazhuang Tiedao University in China have developed a flexible optoelectronic memristor based on a composite of graphene oxide (GO) and perovskite quantum dots, designed to sense and process images in dimly lit conditions.

Memristors are seen as a key building block for flexible neuromorphic vision systems. Because they can rapidly tune their resistance in response to optoelectronic inputs, they emulate the way biological synapses adjust signal weights – the behavior needed for artificial retina-like sensors that sense and compute in the same place, rather than shuttling data to a separate processor. The team, led by Jingjuan Wang and Lingzhi Tang of Hebei GEO University’s College of Information Engineering, combined GO sheets with perovskite quantum dots to create a switching layer whose behavior changes markedly between dark and illuminated conditions.

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