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Nanotube-Bridged Wireswith Sub-10 nm Gaps
Lee, ByungYang,Heo, Kwang,Schmucker, Abrin L.,Jin, Hye Jun,Lim, Jong Kuk,Kim, Taekyeong,Lee, Haemi,Jeon, Ki-Seok,Suh, Yung Doug,Mirkin, Chad A.,Hong, Seunghun American ChemicalSociety 2012 Nano letters Vol.12 No.4
<P>We report a simple but efficient method to synthesizecarbon nanotube-bridgedwires (NBWs) with gaps as small as 5 nm. In this method, we have combineda strategy for assembling carbon nanotubes (CNTs) inside anodizedaluminum oxide pores and the on-wire lithography technique to fabricateCNT-bridged wires with gap sizes deliberately tailored over the 5–600nm range. As a proof-of-concept demonstration of the utility of thisarchitecture, we have prepared NBW-based chemical and biosensors whichexhibit higher analyte sensitivity (lower limits of detection) thanthose based on planar CNT networks. This observation is attributedto a greater surface-to-volume ratio of CNTs in the NBWs than thosein the planar CNT devices. Because of the ease of synthesis and highyield of NBWs, this technique may enable the further incorporationof CNT-based architectures into various nanoelectronic and sensorplatforms.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/nalefd/2012/nalefd.2012.12.issue-4/nl204259t/production/images/medium/nl-2011-04259t_0005.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nl204259t'>ACS Electronic Supporting Info</A></P>
Graphene nanonet for biological sensing applications
Kim, Taekyeong,Park, Jaesung,Jin, Hye Jun,Lee, Hyungwoo,Byun, Kyung-Eun,Lee, Chang-Seuk,Kim, Kwang S,Hong, Byung Hee,Kim, Tae Hyun,Hong, Seunghun IOP Pub 2013 Nanotechnology Vol.24 No.37
<P>We report a simple but efficient method to fabricate versatile graphene nanonet (GNN)-devices. In this method, networks of V<SUB>2</SUB>O<SUB>5</SUB> nanowires (NWs) were prepared in specific regions of single-layer graphene, and the graphene layer was selectively etched via a reactive ion etching method using the V<SUB>2</SUB>O<SUB>5</SUB> NWs as a shadow mask. The process allowed us to prepare large scale patterns of GNN structures which were comprised of continuous networks of graphene nanoribbons (GNRs) with chemical functional groups on their edges. The GNN can be easily functionalized with biomolecules for fluorescent biochip applications. Furthermore, electrical channels based on GNN exhibited a rather high mobility and low noise compared with other network structures based on nanostructures such as carbon nanotubes, which was attributed to the continuous connection of nanoribbons in GNN structures. As a proof of concept, we built DNA sensors based on GNN channels and demonstrated the selective detection of DNA. Since our method allows us to prepare high-performance networks of GNRs over a large surface area, it should open up various practical biosensing applications.</P>
안마도 해상풍력발전단지 단지 용량에 따른 O&M 비교 및 분석
이준용(Junyong Lee),안태경(Taekyeong Ahn),이창민(Changmin Lee),최만수(Mansoo Choi) 한국신재생에너지학회 2021 한국신재생에너지학회 학술대회논문집 Vol.2021 No.7
재생에너지 3020 정책을 효율적으로 뒷받침하고자 국가 해상풍력 발전단지 적합 후보지 입지 발굴 및 개발함에 있어 전남 영광군 안마도 해상에 해상풍력발전단지 개발을 위하여 후보지 풍황조사 후 바람의 질을 평가하고, 수심 측량, 전파 영향도 평가, 계통연계 확보 등 다양한 기술개발을 통하여 전남 영광군 안마도 인근 대규모 해상풍력단지를 개발 중이다. 그러므로 본 연구에서는 향후 안마도 해상풍력발전단지가 개발 완료함에 있어 해상풍력발전단지 O&M 전략이 필요하여, 동일 터빈 모델(8.4 MW)의 단지 용량이 증가 및 연력 투입 규모가 달라졌을 때 O&M 비용에 미치는 영향을 분석하였으며, 해상풍력발전단지 유지보수 모델링 입력값은 항만(위치, 항만사용비용), 자산(터빈 좌표, 터빈제원, 출력곡선 등), 물류(유지보수 선박 종류, 임대기간 및 비용 등), 인력(인건비 등), 전략(선박 투입 전략, 선박 운영시간 등), 9개월간 측정 기상데이터는, 해황 데이터는 칠발도 해양기상부에 데이터를 적용하여 운영연도 가동률, 고장시간, O&M 경제성을 분석하였다.
뇌전증 경련 억제를 위한 실시간 폐루프 신경 자극 시스템 설계
김소원,김선희,이예나,황서영,강태경,전상범,이향운,이승준,Kim, Sowon,Kim, Sunhee,Lee, Yena,Hwang, Seoyoung,Kang, Taekyeong,Jun, Sang Beom,Lee, Hyang Woon,Lee, Seungjun 대한의용생체공학회 2015 의공학회지 Vol.36 No.4
Epilepsy is a chronic neurological disease which produces repeated seizures. Over 30% of epileptic patients cannot be treated with anti-epileptic drugs, and surgical resection may cause loss of brain functions. Seizure suppression by electrical stimulation is currently being investigated as a new treatment method as clinical evidence has shown that electrical stimulation to brain could suppress seizure activity. In this paper, design of a real-time closed-loop neurostimulation system for epileptic seizure suppression is presented. The system records neural signals, detects seizures and delivers electrical stimulation. The system consists of a 6-channel electrode, front-end amplifiers, a data acquisition board by National Instruments, and a neurostimulator and Generic Osorio-Frei algorithm was applied for seizure detection. The algorithm was verified through simulation using electroencephalogram data, and the operation of whole system was verified through simulation and in- vivo test.