Neuromorphic chip refers to an unconventional computing architecture that is modelled on biological brains. It is ideally suited for processing sensory data for intelligence computing, decision-making or context cognition. Despite rapid development, conventional artificial synapses exhibit poor connection flexibility and require separate data acquisition circuitry, resulting in limited function...

A low-power GaAs-based monolithically integrated phototransceiver, consisting of a high-gain heterojunction phototransistor (HPT) and a microcavity light-emitting diode (MCLED) or a low-threshold vertical-cavity surface-emitting laser (VCSEL), is demonstrated. The HPT and MCLED/VCSEL are grown by molecular-beam epitaxy in a single step. The phototransistor exhibits a responsivity of 60A/W at an...

The main objective of this project is to demonstrate the tracking capability of a single Luggage Tracking Unit (LTU). This device is configured to record GPS fixes every 15 minutes and transmit the data to the user via text message or email. Ambient light is detected using a phototransistor that indicates if the luggage has been opened. A barometric pressure sensor is used to determine when the...

The realization of low-cost photodetectors with high sensitivity, high quantum efficiency, high gain and fast photoresponse in the visible and short-wave infrared remains one of the challenges in optoelectronics. Two classes of photodetectors that have been developed are photodiodes and phototransistors, each of them with specific drawbacks. Here we merge both types into a hybrid photodetector ...

Solution-processed phototransistors can substantially advance the performance of image sensors. Phototransistors exhibit large photoconductive gain and a sublinear responsivity to irradiance, which enables a logarithmic sensing of irradiance that is akin to the human eye and has a wider dynamic range than photodiode-based image sensors. Here, we present a novel solution-processed phototransisto...