Namgung Seok Daniel, Kim Ryeong Myeong, Han Jeong Hyun, Nam Ki Tae
Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea.
School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.
Nanotechnology. 2024 Mar 26;35(24). doi: 10.1088/1361-6528/ad321e.
Opto-neuromorphic operation is critical for biological system to recognize the visual objects and mimicking such operation is important for artificial prosthesis as well as machine vision system for industrial applications. To sophisticatedly mimic biological system, regulation of learning and memorizing efficiency is needed, however engineered synthetic platform has been lack of controllability, which makes huge gap between biological system and synthetic platform. Here we demonstrated controllable learning and memorizing opto-neuromorphic operation at plasmonic hot electron transistor. Especially, circularly polarized light (CPL) sensitive synaptic characteristics and learning experience capability are enabled by incorporating chiral plasmonic nanoparticle. Furthermore, gate voltage gives rise to controllable neuromorphic operation due to hot electron injection and trapping effect, resulting in high remaining synaptic weight of ∼70% at negative gate voltage under CPL excitation. We believe that this discovery makes significant leap toward on-demand in-sensor computing as well as toward bio-realistic device.
光神经形态运算对于生物系统识别视觉对象至关重要，而模仿这种运算对于人工假体以及工业应用的机器视觉系统也很重要。为了精确模仿生物系统，需要调节学习和记忆效率，然而工程合成平台一直缺乏可控性，这使得生物系统和合成平台之间存在巨大差距。在此，我们展示了在等离子体热电子晶体管上实现可控的学习和记忆光神经形态运算。特别是，通过引入手性等离子体纳米颗粒，实现了圆偏振光（CPL）敏感的突触特性和学习经验能力。此外，由于热电子注入和俘获效应，栅极电压产生可控的神经形态运算，在CPL激发下，负栅极电压下的剩余突触权重高达约70%。我们相信，这一发现朝着按需的片上传感器计算以及生物逼真器件迈出了重要的一步。
