Biological UV Photoreceptors‐Inspired Sn‐Doped Polycrystalline <i>β</i>‐Ga<sub>2</sub>O<sub>3</sub> Optoelectronic Synaptic Phototransistor for Neuromorphic Computing
Youngbin Yoon, Young‐Ki Kim, Wan Sik Hwang, Myunghun Shin
Abstract
Abstract In this study, the authors fabricate Sn‐doped 100‐nm thick polycrystalline β ‐Ga 2 O 3 synaptic field‐effect transistors (FETs) emulating optical and electrical spike stimulation. When stimulated by deep ultraviolet (UV) optical spikes or electric voltage spikes at the gate, the devices exhibit several essential synaptic functions of excitatory‐postsynaptic currents (EPSCs), inhibitory‐postsynaptic currents (IPSCs), paired‐pulse facilitation (PPF), spike‐number‐dependent plasticity (SNDP), and spike‐timing‐dependent plasticity (STDP). Following UV optical stimulation, the devices mimic synaptic plasticity with a photogate effect, and the gate voltage stimulation emulates the synaptic weights according to the state of the gate dielectric interface. The β ‐Ga 2 O 3 synaptic FET demonstrates synergistic functions in various optoelectronic stimulation modes and successfully mimics the visual memory formation in bees with UV photoreceptors. Moreover, to verify the translation of optoelectrical‐derived synaptic behaviors of β ‐Ga 2 O 3 synaptic FETs into artificial neuromorphic computing, handwritten digit image recognition of the Modified National Institute of Standards and Technology dataset is performed using a convolutional neural network, and a learning accuracy of 96.92% is achieved. The realization of these fundamental functions of biological synapses suggests the utility of Ga 2 O 3 ‐based optoelectronic devices for next‐generation neuromorphic computing.