Nae Eung Lee
Nae Eung Lee
Sungkyunkwan University (SKKU) · Advanced Materials Science and Engineering
Professor
Prof. 이내응
Professor's page · publicationsAbout
이내응 교수 연구실(SNL)은 성균관대 신소재공학부 소속으로, 유연·신축성 반도체와 바이오센서를 연구한다. 웨어러블 시스템을 위한 유연 소자와 센서 기술을 다룬다.
Research keywords
Recent papers
- A Stretchable Organic Electrochemical Transistor Mechano‐Synapse With Biomimetic Mechanotransduction for Intelligent Soft Electronic SkinAdvanced Functional Materials · Sep 16
- Intrinsically Stretchable Piezoelectric Nanocomposites for Artificial Ultrasonic Sensory SynapseAdvanced Materials · Jul 30
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Advanced Sensor and Energy Harvesting Materials
Hoe Joon Kim
Daegu Gyeongbuk Institute of Science and Technology (DGIST) · Robotics and Mechatronics Engineering
Self-powered skin moisture sensing via substrate-active flexible triboelectric nanogeneratorChemical Engineering Journal · Sep 1Dongwhi Choi
Kyung Hee University · Mechanical Engineering
Triboelectricity-driven intelligent self-powered healthcare: From fundamental bio-Interface mechanisms to system integrationCurrent Opinion in Solid State and Materials Science · Aug 18Machine Intelligence & Novel Sensor Technology Lab
KAIST · Mechanical Engineering
Wireless, optoelectronic, multimodal skin sensor for simultaneous monitoring of mechanical stress and vascular responsesNewNature Communications · Oct 13
Other labs in this department
- Chong Min KooRecruiting
2D 나노소재, 고분자복합체, 전자소자, 에너지저장소자
- Jae Young ChoiRecruiting
나노물질의 합성 나노물질의 표면 제어 디바이스 적용
- Myung Gil Kim
산화물 반도체 p-형 반도체 신축성 전자소재 EUV 포토레지스트 다공성 소재 전기화학 촉매
- Seon Kuk Kim
Responsive electronic systems for medical monitoring, advanced 2D nanomaterials, adaptive optical sensors, multifunctional smart sensors
- Yong Hoon Kim
AI-enabled semiconductors, oxide semiconductor materials/devices, optical neuromorphic devices, wearable/stretchable electronics, low-temperature oxide formation
- Yunseok Kim
인공지능, 데이터 분석, 반도체용 강유전체, 전기화학