이규호 교수
Kyu-Ho Lee
연세대학교 전기전자공학부 · 공학
연구실 소개
이규호 교수 연구실은 유연하고 투명한 전도성 소재, 특히 MXene 기반 나노소재를 핵심으로 하여 에너지 수확, 신뢰성 있는 전자 소자, 그리고 신경형 컴퓨팅 기반의 인공지능 전자피부 등 미래형 웨어러블 및 인간-전자 통합 기술을 연구하고 있습니다. 특히 수분 기반 에너지 생성기, 투명 유연 전극, 광학적 학습 기능을 갖춘 인공 시냅스 소자 등에서 뛰어난 성능을 구현하고 있으며, 다양한 환경에서도 안정적으로 작동하는 소재와 구조 설계에 중점을 두고 있습니다. 이는 스마트 웨어러블 기기, 생체 통합 센서, 초경량 인공지능 장치 등에 응용 가능합니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Free-standing and film-type moisture-driven energy generators (MEGs) that harness the preferential interaction of ionized moisture with hydrophilic materials are interesting because of their wearability and portability without needing a water container. However, most such MEGs work in limited humidity conditions, which provide a substantial moisture gradient. Herein, we present a high-performance MEG with sustainable power-production capability in a wide range of environments. The bilayer-based
) are two-dimensional transition-metal carbides and carbonitrides with high conductivity and optical transparency. However, transparent MXene electrodes with high environmental stability suitable for various flexible organic electronic devices have rarely been demonstrated. By laminating a thin polymer film onto a solution-processed MXene layer to protect the MXene film from harsh environmental conditions, we present transparent and flexible MXene electronic devices. A thin polymer layer spin-co
Abstract Artificial photonic synapses with morphologically controlled photoreception, allowing for area‐dependent tunable light reception as well as information storage and learning, have potential for application in emerging photo‐interactive neuro‐computing technologies. Herein, an artificially intelligent (AI) photonic synapse with area‐density‐tunable perovskite nano‐cone arrays templated in a self‐assembled block copolymer (BCP) is presented, which is based on a field effect transistor with
Lightweight and flexible tactile learning machines can simultaneously detect, synaptically memorize, and subsequently learn from external stimuli acquired from the skin. This type of technology holds great interest due to its potential applications in emerging wearable and human-interactive artificially intelligent neuromorphic electronics. In this study, an integrated artificially intelligent tactile learning electronic skin (e-skin) based on arrays of ferroelectric-gate field-effect transistor
Soft ferroelectrics based on organic and organic-inorganic hybrid materials have gained much interest among researchers owing to their electrically programmable and remnant polarization. This allows for the development of numerous flexible, foldable, and stretchable nonvolatile memories, when combined with various crystal engineering approaches to optimize their performance. Soft ferroelectrics have been recently considered to have an important role in the emerging human-connected electronics th
The development of electrodes with high conductivity, optical transparency, and reliable mechanical flexibility and stability is important for numerous solution-processed photoelectronic applications. Although transparent Ti<sub>3</sub>C<sub>2</sub>T<sub>X</sub> MXene electrodes with high conductivity are promising, their suitability for displays remains limited because of the high sheet resistance, which is caused by undesirable flake junctions and surface roughness. Herein, a flexible and tran
Optical encryption technologies based on room-temperature light-emitting materials are of considerable interest. Herein, we present three-dimensional (3D) printable dual-light-emitting materials for high-performance optical pattern encryption. These are based on fluorescent perovskite nanocrystals (NCs) embedded in metal-organic frameworks (MOFs) designed for phosphorescent host-guest interactions. Notably, perovskite-containing MOFs emit a highly efficient blue phosphorescence, and perovskite N
Mechanical properties of biological systems provide useful information about the biochemical status of cells and tissues. Here, an artificial tactile neuron enabling spiking representation of stiffness and spiking neural network (SNN)-based learning for disease diagnosis is reported. An artificial spiking tactile neuron based on an ovonic threshold switch serving as an artificial soma and a piezoresistive sensor as an artificial mechanoreceptor is developed and shown to encode the elastic stiffn
OBJECTIVES: Propofol is commonly used for endoscopic sedation. However, it can induce adverse hemodynamic effects. Remimazolam is known to have a fast onset and short duration comparable to that of propofol, but with fewer effects on hemodynamics. We assessed the Oxygen Reserve Index to verify whether a sedative dose of remimazolam would better preserve oxygenation in the mild hyperoxic range than propofol in sedated patients undergoing diagnostic upper gastrointestinal endoscopy. METHODS: Patie
BACKGROUND: Preventing intraoperative nausea and vomiting (IONV) is crucial for maternal safety during cesarean section under spinal anesthesia. While midazolam is known to prevent IONV, we hypothesized that remimazolam would be superior due to its minimal hemodynamic effects. We compared the effects of the two drugs on IONV. METHODS: Parturients scheduled for cesarean section were randomly assigned to receive either midazolam or remimazolam. They received midazolam 2 mg or remimazolam 5 mg, wit
이 글은 코로나19로 대학 교육이 전면적으로 비대면 교육으로 전환된 과정 속에서, 국내의 6개 대학의 인류학 교과목 중심의 교양 수업을 담당하는 강사이자 인류학자로서 경험하고 관찰한 비대면 대학 교육에 대한 자문화기술지이다. 2020년부터 시작된 2년간의 교육 경험은 크게 세 가지 단계로 구분할 수 있는데, 카오스, 또 다른 도전, 그리고 대학 교육에 대한 성찰로 볼 수 있다. 첫 단계인 카오스 단계에서는 비대면 교육에 대해 어떠한 경험도 지침도 없는 상태에서 이전의 교육을 그대로 가져오는 과정이었으며, 이 경험을 통해 새로운 환경 속에서의 교과 구성에 대한 고민과 학생들에 대한 또 다른 이해를 갖게 된다. 두 번째 단계에서는 비대면 교육이 기존의 교육 현장에서 비가시화되었던 학습 주체들을 새롭게 만나게 되고, 이를 통해 더욱 포섭적인 교육이 무엇인가에 대한 성찰로 이어졌다. 세 번째 단계에서는 비대면 대학 교육이 ‘수업’을 중심으로 이루어지며 학생들이 대학 생활에서 경험하고 성장할
Artificial Retinas In article number 2105596, Cheolmin Park and co-workers demonstrate artificially intelligent photonic synapses by utilizing position-dependent density tunable photoreceptive perovskite nanoscale cones templated in a self-assembled block copolymer nanostructure. The synapses emulate the human retina with the spatial distribution of cones, and they recognize various visual information with a high degree of accuracy.
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