Title : Printed semiconductor nanowires for next-generation neuromorphic electronics

Speaker : Yeongjun Lee

Department: Chemical Engineering, Stanford University, Stanford, US

Position: Postdoctoral Scholar

Email: yeongjun@stanford.edu

Date & Time : 2022년 8월 19일 (금) 10:30 ~

Where: 서울대학교 301동 620호 세미나실

             https://snu-ac-kr.zoom.us/j/92729206914?pwd=YUtCYUNkRjJCd0owemp0aHJjQy9Fdz09

             (Zoom ID: 927 2920 6914 / Password: 329029)

Abstract

To make next-generation semiconductor devices, device scaling using a micro-patterning process is rapidly progressing. Top-down optical lithography techniques can produce very precise and high-resolution features, but equipment and process costs are very high. On the other hand, the bottom-up additive semiconductor printing technologies have the advantages of very simple processes and low equipment and process costs. However, the low resolution or low productivity of the existing printing technologies is a challenge to be solved for next-generation semiconductor manufacturing. Herein, we introduce high-speed printing of nanoscale semiconductor materials and research on next-generation neuromorphic electronic devices. Artificial synapses using semiconductor nanowires that mimic the structure and shape of nerve fibers precisely emulated the diverse synaptic plasticity of biological synapses. These artificial synapses were applied not only to neuromorphic computing, which is a representative research field of neuromorphic electronics but also to neuromorphic robotics and bioelectronics, which are new fields that have not been reported before. Our research on neuromorphic electronics can be a new technological driving force in the development of next-generation neuromorphic computing, smart robotics, bioelectronics, and wearable healthcare electronics.

세미나 문의: 전기정보공학부 홍용택 교수님실 (02-880-9577)