Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV23)
Publication date: 30th March 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 choosing the right combination of electrode and halide perovskite materials and by downscaling of the device in a way that prevents degradation of the perovskite layer during the lithography procedure. We show energy consumptions in the femtojoule range, the lowest reported for full devices of halide perovskite 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.