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High-performance MoS_(2)/p^(+)-Si heterojunction field-effect transistors by interface modulation
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作者 Yoonsok kim taeyoung kim Eun Kyu kim 《Nano Research》 SCIE EI CSCD 2022年第7期6500-6506,共7页
Molybdenum disulfide(MoS_(2)),one of transition metal dichalcogenides,is a promising semiconductor material for electronic or optoelectronic devices due to its favorably electronic properties.However,in metal-oxide se... Molybdenum disulfide(MoS_(2)),one of transition metal dichalcogenides,is a promising semiconductor material for electronic or optoelectronic devices due to its favorably electronic properties.However,in metal-oxide semiconductor field-effect transistor(MOSFET)structures using MoS_(2),electrical performances such as mobility and subthreshold swing are suppressed by the interface trap density between the channel and dielectric layers.Moreover,the electrical stability of such structures is compromised due to interface traps and that can be analyzed such as current hysteresis and transient characteristics.Here,we demonstrate MoS_(2) heterojunction field-effect transistors(HFET)by applying MoS_(2)/p^(+)-Si heterojunctions and achieve high performance characteristics,including a mobility of 636.19 cm^(2)/(V∙s),a subthreshold swing of 67.4 mV/dec,minimal hysteresis of 0.05 V,and minimized transient characteristics.However,the HFET devices with varying the channel length demonstrated degradation of electrical performance with increasing the overlap area of the channel and dielectric layers.These results regarding MoS_(2)/p^(+)-Si HFETs resulted in the structural optimization of high-performance electronic devices for practical applications. 展开更多
关键词 molybdenum disulfide(MoS_(2)) transition metal dichalcogenide junction field-effect transistor dielectric layer interface trap
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High-density lipoprotein mimetic nanotherapeutics for cardiovascular and neurodegenerative diseases
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作者 Song Ih Ahn Hyun-Ji Park +2 位作者 diwon Yom taeyoung kim YongTae kim 《Nano Research》 SCIE EI CAS CSCD 2018年第10期5130-5143,共14页
High-density lipoprotein (HDL) serves as a natural nanoparticle with compositional and functional heterogeneity and contributes to the maintenance of lipid metabolism and various biological functions. HDL also trans... High-density lipoprotein (HDL) serves as a natural nanoparticle with compositional and functional heterogeneity and contributes to the maintenance of lipid metabolism and various biological functions. HDL also transports endogenous microRNAs, vitamins, hormones, and proteins through blood and interstitial fluids to various organs. These unique and diverse features of HDL have encouraged its applications for the transport of therapeutics and diagnostic reagents in the last decade. In this review, we describe the heterogeneous characteristics and biological functions of HDL and highlight HDL mimetic approaches, including apolipoprotein mimetic peptides and reconstituted HDL nanoparticles. Given the potential of HDL as a nanocarrier delivering various therapeutic agents, we discuss the current representative studies of HDL mimetic nanotherapeutics for cardiovascular and neurodegenerative diseases and analyze the current challenges and future perspective. 展开更多
关键词 high-density lipoprotein nanotherapeutic cardiovascular disease neurodegenerative disease
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Data collection model in hybrid network for participatory sensing
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作者 Jeongseok Choi taeyoung kim +3 位作者 Jaekwon kim Sunghwan Moon Youngshin Han Jongsik Lee 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2016年第4期16-22,共7页
Advances in mobile technology make most people have their own mobile devices which contain various sensors such as a smartphone.People produce their own personal data or collect surrounding environment data with their... Advances in mobile technology make most people have their own mobile devices which contain various sensors such as a smartphone.People produce their own personal data or collect surrounding environment data with their mobile devices at every moment.Recently,a broad spectrum of studies on Participatory Sensing,the concept of extracting new knowledge from a mass of data sent by participants,are conducted.Data collection method is one of the base technologies for Participatory Sensing,so networking and data filtering techniques for collecting a large number of data are the most interested research area.In this paper,we propose a data collection model in hybrid network for participatory sensing.The proposed model classifies data into two types and decides networking form and data filtering method based on the data type to decrease loads on data center and improve transmission speed. 展开更多
关键词 Data collection model participatory sensing data filtering hybrid network
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