SNU CBE

Organic neuromorphic electronics powering intelligent sensory and edge computing systems

2026 · InfoMat

저자

Seungjun Woo, Minji Chung, Hyun Woo Song, Seoyoung Kim, Eun Kwang Lee, 오준학 (Joon Hak Oh)

연구주제

Advanced Memory and Neural Computing · Conducting polymers and applications · Organic Electronics and Photovoltaics

NTIS 과학기술표준분류

가장 가까운 분류(재료 > 고분자재료 > 전기/전자정보용 소재기술)가 화학·화공 범위 밖이다. 배정 근거: AI 키워드가 잡은 NTIS 과제의 분류.

AI 연구 키워드·방법

인공 시냅스 edge computing neuromorphic sensor organic neuromorphic electronics

키워드 (OpenAlex)

neuromorphic sensing organic transistors artificial synapses chemical sensing photoreception edge computing skin-like sensors on-site learning

초록

Abstract Neuromorphic sensing technology is rapidly evolving from laboratory demonstrations to application‐driven prototypes such as multimodal wearables that integrate touch, vision, and chemistry, synaptic devices operating under aqueous, low‐voltage conditions, and skin‐like arrays capable of on‐site learning. Organic materials have emerged as promising candidates for these technologies owing to their softness, biocompatibility, and intrinsic ionic–electronic coupling that emulates synaptic signaling. Despite accelerating progress in wearables and human–machine interfaces, this field still lacks an integrated, application‐oriented overview of organic neuromorphic systems. This review addresses that gap by clarifying when to employ different device platforms and how electric signals are translated into chemical, physical, and visual sensing. We first discuss the characteristics of bion…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

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교수 1

오준학

연구주제 1

Advanced Memory and Neural Computing

키워드 1

인공 시냅스