Opto-Neuromorphic Computing by Photo Responses of Ferroelectric P(VDF-TrFE) Field-Effect Transistors

초록

Advances in artificial intelligence (AI) are opening new paradigms in wearable healthcare sensors and AI-based medical devices that detect and process bio-signals in real time. In particular, neuromorphic computing, capable of low-power and high-speed computation, is attracting attention as a key foundation for efficiently processing massive amounts of biometric data by mimicking the human neural network. To realize this sensor-computing integrated medical platform, we developed a nonvolatile synaptic memory device using a ferroelectric field-effect transistor (FeFET). We evaluated the optical and electrical response characteristics of the device using a transition metal chalcogenide (TMDC) as the channel material and P(VDF?TrFE) as the ferroelectric gate insulating layer. We confirmed that this device can mimic neural synaptic weight learning and retention, suggesting its potential for future applications in next-generation biomedical engineering, such as medical neuromorphic interfaces and smart biosensor systems.