103 research outputs found

    A study on electrical and thermal transportation properies of Nano-patterned CNT and bismuth film

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์žฌ๋ฃŒ๊ณตํ•™๋ถ€(ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ์žฌ๋ฃŒ), 2012. 8. ๊น€๊ธฐ๋ฒ”.๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋‚˜๋…ธ์Šค์ผ€์ผ์˜ ๊ณต์ •๊ธฐ์ˆ ์ด ์—ด์ „์†Œ์ž์— ์‚ฌ์šฉ๋˜๋Š” ์žฌ๋ฃŒ์— ์ ์šฉ๋˜์—ˆ์„ ๋•Œ ์—ด์ „์„ฑ๋Šฅ๊ณผ ์ „๊ธฐ์  ์„ฑ๋Šฅ์„ ๋ฐํ˜€๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ๋‚˜๋…ธ์Šค์ผ€์ผ์˜ ๊ณต์ •๊ธฐ์ˆ ์ด ์—ด์ „์„ฑ๋Šฅ์„ ๋†’์ผ ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฐ€๋Šฅ์„ฑ์ด ๋ฐœํ‘œ๋œ ํ›„ ๋‚˜๋…ธ๋ฉ”์‰ฌ (Nanomesh) ๊ตฌ์กฐ์™€ ๋‚˜๋…ธ์™€์ด์–ด (Nanowire) ๊ตฌ์กฐ๊ฐ€ ์ž ์žฌ์ ์œผ๋กœ ์—ด์ „์†Œ์ž์— ์“ฐ์ผ ์ˆ˜ ์žˆ๋Š” ์žฌ๋ฃŒ๋“ค์— ์ ์šฉ์ด ๋˜์—ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋‚˜๋…ธ๋ฉ”์‰ฌ์™€ ๋‚˜๋…ธ์™€์ด์–ด ๊ตฌ์กฐ๊ฐ€ ๊ฐ๊ฐ CNT film๊ณผ bismuth์— ์ ์šฉ์„ ์‹œ์ผœ ์ „๊ธฐ์ , ์—ด์  transport ํŠน์„ฑ์— ๊ด€ํ•˜์—ฌ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ๋ฅผ ๊ณ ์ฐฐํ•˜์˜€๋‹ค. ์ฒซ ๋ฒˆ์งธ๋กœ, ๋‚˜๋…ธ๋ฉ”์‰ฌ ํŒจํ„ด์„ CNT film์— ์‚ฝ์ž…ํ•œ nanomesh CNT film๊ณผ ๋‚˜๋…ธ๋ฉ”์‰ฌ ํŒจํ„ด์„ ์‚ฝ์ž…ํ•˜์ง€ ์•Š์€ pristine CNT film์˜ ์ „๊ธฐ์ , ์—ด์  ๊ด‘ํ•™์  ํŠน์„ฑ์„ ๋น„๊ตํ•˜์˜€๋‹ค. Metallic carbon nanotube๋Š” Seebeck coefficient๊ฐ€ 0์— ๊ฐ€๊นŒ์›Œ์•ผ ํ•จ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  nanotube film์€ ์ƒ๋‹นํžˆ ๋†’์€ Seebeck coefficient๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ๋ณธ ์‹คํ—˜์—์„œ๋Š” anodized aluminum oxide membrane์„ etching hard mask๋กœ ์ด์šฉํ•˜์—ฌ nanomesh pattern์„ CNT film์— ์‚ฝ์ž…ํ•˜์˜€๋‹ค. ์กฐ๋ฐ€ํ•œ ๋‚˜๋…ธ์Šค์ผ€์ผ์˜ hole๋“ค์ด patterning ๋˜์–ด ์‚ฝ์ž…๋œ CNT film์˜ thermoelectric power๊ฐ€ 30% (29 to 39 V/K) ๊ฐ€๋Ÿ‰ ์ฆ๊ฐ€๋œ ๊ฒƒ์ด ๊ด€์ฐฐ๋˜์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ํ˜„์ƒ์„ Nano-patterning์— ์˜ํ•œ electron localization ์— ์˜ํ•œ ๊ฒƒ์œผ๋กœ ์„ค๋ช…ํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ๋กœ, ํ‘œ๋ฉด์˜ ๊ฑฐ์น ๊ธฐ๊ฐ€ ๋‚ฎ์€ bismuth film์„ ์ฆ์ฐฉํ•˜๊ธฐ ์œ„ํ•ด pulsed laser deposition (PLD) system์˜ ์ฆ์ฐฉ์กฐ๊ฑด์ด ์ตœ์ ํ™” ๋˜์—ˆ๋‹ค. Bismuth film์˜ ์ „๊ธฐ์  ํŠน์„ฑ๊ณผ ํ‘œ๋ฉด์˜ ๊ฑฐ์น ๊ธฐ๋ฅผ PLD system์˜ Working pressure์™€ target to substrate (TS) distance, ๊ทธ๋ฆฌ๊ณ  ๊ธฐํŒ์˜ ์˜จ๋„๋ฅผ ์กฐ์ ˆํ•ด ๊ฐ€๋ฉฐ ๊ด€์ฐฐ ํ•˜์˜€๋‹ค. ๊ฐ ์ฆ์ฐฉ parameter ๋“ค์˜ ์˜์—ญ์€ working pressure์˜ ๊ฒฝ์šฐ 10 mTorr ์—์„œ base pressure (10-6 Torr), TS distance์˜ ๊ฒฝ์šฐ 4cm ~ 7cm, ๊ทธ๋ฆฌ๊ณ  ๊ธฐํŒ์˜ ์˜จ๋„๋Š” 22 ยฐC ์—์„œ 200 ยฐC๊นŒ์ง€ ์กฐ์ ˆํ•˜์˜€๋‹ค. Bismuth film์˜ electrical resistivity์™€ ํ‘œ๋ฉด์˜ ๊ฑฐ์น ๊ธฐ๋Š” working pressure, TS distance, ๊ทธ๋ฆฌ๊ณ  ๊ธฐํŒ์˜ ์˜จ๋„์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง€๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€์œผ๋ฉฐ, ์ตœ์ ํ™” ๋œ ์กฐ๊ฑด์—์„œ ์ฆ์ฐฉ ๋œ bismuth film์˜ RMS surface roughness value๋Š” 1.57nm ์ด๊ณ  electrical resistivity๋Š” 300ยตฮฉcm ์ด๋‹ค. ์ด๋Ÿฌํ•œ ์ข‹์€ ํ‘œ๋ฉด์„ ๊ฐ€์ง„ ํ•„๋ฆ„์„ ๋ฐ”ํƒ•์œผ๋กœ ํ•˜์—ฌ ์ตœ์ข…์ ์œผ๋กœ bismuth nanowire๋ฅผ top-down fabrication ๋ฐฉ์‹์ธ e-beam lithography๋ฅผ ํ†ตํ•ด ์ œ์ž‘ํ•˜์˜€๊ณ  bismuth nanowire์˜ ์˜จ๋„์— ๋”ฐ๋ฅธ ์ „๊ธฐ์  ์„ฑ์งˆ์„ bismuth thin film๊ณผ bulk bismuth์™€ ๋น„๊ตํ•ด ๋ณด์•˜๋‹ค.ABSTRACT i TABLE OF CONTENTS iv LIST OF FIGURES vi CHAPTER 1. Thermoelectric ๏ผ‘ 1. 1. Introduction ๏ผ’ 1. 2. Figure of merit ๏ผ• 1. 3. Nano-scale strategies ๏ผ˜ 1. 5. References ๏ผ‘๏ผ’ CHAPTER 2. Nanomesh CNT film ๏ผ‘๏ผ“ 2.1. Introduction ๏ผ‘๏ผ” 2.2. Experiments ๏ผ‘๏ผ— 2.3. Results and discussion ๏ผ’๏ผ‘ 2.4. Conclusion ๏ผ’๏ผ— 2.5. References ๏ผ’๏ผ˜ CHAPTER 3. Bismuth film and nanowire ๏ผ“๏ผ 3.1. Introduction ๏ผ“๏ผ‘ 3.2. Experiments ๏ผ“๏ผ” 3.3. Results and discussion ๏ผ“๏ผ• 3.6. References ๏ผ”๏ผ– CHAPTER 4. Bismuth nanowire ๏ผ”๏ผ— 4.1. Experiments ๏ผ”๏ผ˜ 4.2. Result and discussion ๏ผ•๏ผ™ Abstract (in Korean) ๏ผ–๏ผ‘Maste

    Survey on Kernel-Based Relation Extraction

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    Disorder-dependent Li diffusion in Li6PS5Cl\mathrm{Li_6PS_5Cl} investigated by machine learning potential

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    Solid-state electrolytes with argyrodite structures, such as Li6PS5Cl\mathrm{Li_6PS_5Cl}, have attracted considerable attention due to their superior safety compared to liquid electrolytes and higher ionic conductivity than other solid electrolytes. Although experimental efforts have been made to enhance conductivity by controlling the degree of disorder, the underlying diffusion mechanism is not yet fully understood. Moreover, existing theoretical analyses based on ab initio MD simulations have limitations in addressing various types of disorder at room temperature. In this study, we directly investigate Li-ion diffusion in Li6PS5Cl\mathrm{Li_6PS_5Cl} at 300 K using large-scale, long-term MD simulations empowered by machine learning potentials (MLPs). To ensure the convergence of conductivity values within an error range of 10%, we employ a 25 ns simulation using a 5ร—5ร—55\times5\times5 supercell containing 6500 atoms. The computed Li-ion conductivity, activation energies, and equilibrium site occupancies align well with experimental observations. Notably, Li-ion conductivity peaks when Cl ions occupy 25% of the 4c sites, rather than at 50% where the disorder is maximized. This phenomenon is explained by the interplay between inter-cage and intra-cage jumps. By elucidating the key factors affecting Li-ion diffusion in Li6PS5Cl\mathrm{Li_6PS_5Cl}, this work paves the way for optimizing ionic conductivity in the argyrodite family.Comment: 34 pages, 6 figure

    Atomic Scale Study on Growth and Heteroepitaxy of ZnO Monolayer on Graphene

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    Atomically thin semiconducting oxide on graphene carries a unique combination of wide band gap, high charge carrier mobility, and optical transparency, which can be widely applied for optoelectronics. However, study on the epitaxial formation and properties of oxide monolayer on graphene remains unexplored due to hydrophobic graphene surface and limits of conventional bulk deposition technique. Here, we report atomic scale study of heteroepitaxial growth and relationship of a single-atom-thick ZnO layer on graphene using atomic layer deposition. We demonstrate atom-by-atom growth of zinc and oxygen at the preferential zigzag edge of a ZnO monolayer on graphene through in situ observation. We experimentally determine that the thinnest ZnO monolayer has a wide band gap (up to 4.0 eV), due to quantum confinement and graphene-like structure, and high optical transparency. This study can lead to a new class of atomically thin two-dimensional heterostructures of semiconducting oxides formed by highly controlled epitaxial growth.ope

    Blood pressure and dementia risk by physical frailty in the elderly: a nationwide cohort study

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    Background Midlife hypertension has been recognized as a modifiable risk factor for dementia, but association between blood pressure (BP) in late life and dementia has been inconclusive. In addition, few studies have investigated effects of BP control on dementia incidence in the frail elderly. Thus, this study aimed to investigate the association of BP and dementia incidence with concomitant consideration of physical frailty in the young elderly population. Methods Using the Korean National Health Information Database, we identified 804,024 subjects without history of dementia at age 66. Dementia diagnosis was defined with prescription records of anti-dementia drugs and dementia-related diagnostic codes. Physical frailty was measured using the Timed Up and Go test. Association of BP and dementia incidence with concomitant consideration of physical frailty was investigated using Cox hazards analyses. Results The risks of Alzheimers and vascular dementia increased from systolic BPโ€‰โ‰ฅโ€‰160 and 130โ€“139mmHg, respectively; a significant association of dementia incidence with low BP was not observed. In the analyses stratified by the physical frailty status, low BP was not associated with increased risks of dementia within the groups both with and without physical frailty. Conclusions High BP was associated with increased risks of dementia, especially for vascular dementia, while low BP was not associated with increased risks of any type of dementia in young elderly people, even in those with physical frailty. This study suggests the need for tight BP control in young elderly people, irrespective of frailty status, to prevent dementia and supports the current clinical guidelines of hypertension treatment

    Simulation Method for the Physical Deformation of a Three-Dimensional Soft Body in Augmented Reality-Based External Ventricular Drainage

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    Objectives Intraoperative navigation reduces the risk of major complications and increases the likelihood of optimal surgical outcomes. This paper presents an augmented reality (AR)-based simulation technique for ventriculostomy that visualizes brain deformations caused by the movements of a surgical instrument in a three-dimensional brain model. This is achieved by utilizing a position-based dynamics (PBD) physical deformation method on a preoperative brain image. Methods An infrared camera-based AR surgical environment aligns the real-world space with a virtual space and tracks the surgical instruments. For a realistic representation and reduced simulation computation load, a hybrid geometric model is employed, which combines a high-resolution mesh model and a multiresolution tetrahedron model. Collision handling is executed when a collision between the brain and surgical instrument is detected. Constraints are used to preserve the properties of the soft body and ensure stable deformation. Results The experiment was conducted once in a phantom environment and once in an actual surgical environment. The tasks of inserting the surgical instrument into the ventricle using only the navigation information presented through the smart glasses and verifying the drainage of cerebrospinal fluid were evaluated. These tasks were successfully completed, as indicated by the drainage, and the deformation simulation speed averaged 18.78 fps. Conclusions This experiment confirmed that the AR-based method for external ventricular drain surgery was beneficial to clinicians

    Myotis rufoniger genome sequence and analyses: M-rufoniger's genomic feature and the decreasing effective population size of Myotis bats

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    Myotis rufoniger is a vesper bat in the genus Myotis. Here we report the whole genome sequence and analyses of the M. rufoniger. We generated 124 Gb of short-read DNA sequences with an estimated genome size of 1.88 Gb at a sequencing depth of 66x fold. The sequences were aligned to M. brandtii bat reference genome at a mapping rate of 96.50% covering 95.71% coding sequence region at 10x coverage. The divergence time of Myotis bat family is estimated to be 11.5 million years, and the divergence time between M. rufoniger and its closest species M. davidii is estimated to be 10.4 million years. We found 1,239 function-altering M. rufoniger specific amino acid sequences from 929 genes compared to other Myotis bat and mammalian genomes. The functional enrichment test of the 929 genes detected amino acid changes in melanin associated DCT, SLC45A2, TYRP1, and OCA2 genes possibly responsible for the M. rufoniger's red fur color and a general coloration in Myotis. N6AMT1 gene, associated with arsenic resistance, showed a high degree of function alteration in M. rufoniger. We further confirmed that the M. rufoniger also has batspecific sequences within FSHB, GHR, IGF1R, TP53, MDM2, SLC45A2, RGS7BP, RHO, OPN1SW, and CNGB3 genes that have already been published to be related to bat's reproduction, lifespan, flight, low vision, and echolocation. Additionally, our demographic history analysis found that the effective population size of Myotis clade has been consistently decreasing since similar to 30k years ago. M. rufoniger's effective population size was the lowest in Myotis bats, confirming its relatively low genetic diversity

    Variation block-based genomics method for crop plants

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    This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.Abstract Background In contrast with wild species, cultivated crop genomes consist of reshuffled recombination blocks, which occurred by crossing and selection processes. Accordingly, recombination block-based genomics analysis can be an effective approach for the screening of target loci for agricultural traits. Results We propose the variation block method, which is a three-step process for recombination block detection and comparison. The first step is to detect variations by comparing the short-read DNA sequences of the cultivar to the reference genome of the target crop. Next, sequence blocks with variation patterns are examined and defined. The boundaries between the variation-containing sequence blocks are regarded as recombination sites. All the assumed recombination sites in the cultivar set are used to split the genomes, and the resulting sequence regions are termed variation blocks. Finally, the genomes are compared using the variation blocks. The variation block method identified recurring recombination blocks accurately and successfully represented block-level diversities in the publicly available genomes of 31 soybean and 23 rice accessions. The practicality of this approach was demonstrated by the identification of a putative locus determining soybean hilum color. Conclusions We suggest that the variation block method is an efficient genomics method for the recombination block-level comparison of crop genomes. We expect that this method will facilitate the development of crop genomics by bringing genomics technologies to the field of crop breeding
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