Ultraviolet-Responsive Graphene Quantum Dots-Based Flexible Photonic Synaptic Transistors for Artificial Vision Systems
발표자
김윤성 (한양대학교)
연구책임자
박희준 (한양대학교)
초록
내용
To address the growing demand for efficient edge computing in the era of the Internet of Things and artificial intelligence,[1,2] we report a flexible optoelectronic synaptic transistor that integrates sensing, memory, and processing within a single device. The device employs graphene quantum dots (GQDs), synthesized from functionalized hexa-peri-hexabenzocoronene (HBC-PF6) and dispersed in a polymer matrix, as a charge-trapping floating gate. Upon UV exposure, photogenerated holes migrate to the channel while electrons are trapped in the floating gate, inducing a non-volatile threshold voltage shift that mimics synaptic potentiation. The device demonstrates robust mechanical flexibility (bending radius ±1 mm) and shows key synaptic functions such as EPSC, PPF, short- to long-term plasticity transitions, and long-term potentiation/depression. Moreover, a device array integrated into a simple artificial neural network achieved over 91% accuracy in handwritten digit recognition.