Proceedings of MATSUS Fall 2023 Conference (MATSUSFall23)
DOI: https://doi.org/10.29363/nanoge.matsus.2023.194
Publication date: 18th July 2023
Lead halide perovskites are highly promising materials for a wide range of optoelectronic applications, such as photovoltaics and LEDs. However, perovskite optoelectronic devices typically display unwanted, large hysteresis effects under mild operating conditions, which is commonly attributed to the efficient conduction of mobile ions. Here we utilize this efficient ion conduction to make energy-efficient artificial synapses that change their conductive state when a bias voltage is applied. We fabricate low-energy consumption artificial synapses by downscaling of the device in a way that prevents degradation of the perovskite layer during the lithography procedure. The devices demonstrate large resistance changes with energy consumptions in the femtojoule range, among the lowest reported for artificial synapses and comparable to that of biological synapses. Networks of these artificial synapses could potentially emulate the analog and parallel way that information is processed in the brain to achieve orders of magnitude lower energy consumption computation compared to digital computers.
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