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Interlayer-state-driven superconductivity inCaC6studied by angle-resolved photoemission spectroscopy
Kyung, Wonshik,Kim, Yeongkwan,Han, Garam,Leem, Choonshik,Kim, Chul,Koh, Yoonyoung,Kim, Beomyoung,Kim, Youngwook,Kim, Jun Sung,Kim, Keun Su,Rotenberg, Eli,Denlinger, Jonathan D.,Kim, Changyoung American Physical Society 2015 Physical review. B, Condensed matter and materials Vol.92 No.22
Kim, Namdong,Lee, Paengro,Kim, Youngwook,Kim, Jun Sung,Kim, Yongsam,Noh, Do Young,Yu, Seong Uk,Chung, Jinwook,Kim, Kwang S. American Chemical Society 2014 ACS NANO Vol.8 No.2
<P>We employed graphene as a patternable template to protect the intrinsic surface states of thin films of topological insulators (TIs) from environment. Here we find that the graphene provides high-quality interface so that the Shubnikov de Haas (SdH) oscillation associated with a topological surface state could be observed at the interface of a metallic Bi<SUB>2</SUB>Se<SUB>3</SUB> film with a carrier density higher than ∼10<SUP>19</SUP> cm<SUP>–3</SUP>. Our <I>in situ</I> X-ray diffraction study shows that the Bi<SUB>2</SUB>Se<SUB>3</SUB> film grows epitaxially in a quintuple layer-by-layer fashion from the bottom layer without any structural distortion by interfacial strain. The magnetotransport measurements including SdH oscillations stemming from multiple conductance channels reveal that the topological surface state, with the mobility as high as ∼0.5 m<SUP>2</SUP>/(V s), remains intact from the graphene underneath without degradation. Given that the graphene was prepatterned on arbitrary insulating substrates, the TI-based microelectronic design could be exploited. Our study thus provides a step forward to observe the topological surface states at the interface without degradation by tuning the interface between TI and graphene into a measurable current for device application.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancac3/2014/ancac3.2014.8.issue-2/nn405503k/production/images/medium/nn-2013-05503k_0006.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nn405503k'>ACS Electronic Supporting Info</A></P>
( Youngwook Seo ),( Chansong Hwang ),( Moon S. Kim ),( Ahyeong Lee ),( Bal-geum Kim ),( Jongguk Lim ),( Giyoung Kim ),( Jaekyung Jang ) 한국농업기계학회 2020 한국농업기계학회 학술발표논문집 Vol.25 No.1
Convolutional neural network (ConvNet) has emerged as an state-of-the-art machine learning and classification model. ConvNet based on multilayer perceptrons with fully connected network which is prone to overfitting data. Maxpooling and rectified linear unit is a method for finding edge and reducing variance of data. In this study, ConvNet was applied to classify VNIR hyperspectral data of spinach droplet concentrations. The extracts of spinach was diluted to six levels adding distilled water as follows: original extracts (100%), 1:5 (20%), 1:10 (10%), 1:20 (5%), 1:50 (2%), and 1:100 (1%), respectively. Stainless steel plate had 6 concentration × 15 replica × 2 repeat (N=180). In order to acquire VNIR (400-1000 nm) hyperspectral images, a line-scan hyperspectral imaging system was used and obtained 1000 pixels × 1004 pixels × 128 bands 3D cube data. Spectral data was extracted manually and PCA was applied to analyze data characteristics. Score plot of scattering showed each concentration cluster attributes on PC1 and PC2 space. Using the 99th image (865 nm) with threshold 400, the mask image built up, removed background and selected ROIs. ConvNet and pre-processing methods (MSC, derivatives, moving average, and normalization) were used to develop the concentration prediction models then compared accuracy based on confusion matrix. 1D ConvNet showed the best accuracy as well 92.98% with 1st derivative (D1). VNIR hyperspectral imaging system and ConvNet classification model showed a potential for developing an safety assessment technology for agro-food processing machines or facilities.
Kim, Hyungki,Song, Intek,Park, Chibeom,Son, Minhyeok,Hong, Misun,Kim, Youngwook,Kim, Jun Sung,Shin, Hyun-Joon,Baik, Jaeyoon,Choi, Hee Cheul American Chemical Society 2013 ACS NANO Vol.7 No.8
<P>We report that high-quality single-layer graphene (SLG) has been successfully synthesized directly on various dielectric substrates including amorphous SiO<SUB>2</SUB>/Si by a Cu-vapor-assisted chemical vapor deposition (CVD) process. The Cu vapors produced by the sublimation of Cu foil that is suspended above target substrates without physical contact catalyze the pyrolysis of methane gas and assist nucleation of graphene on the substrates. Raman spectra and mapping images reveal that the graphene formed on a SiO<SUB>2</SUB>/Si substrate is almost defect-free and homogeneous single layer. The overall quality of graphene grown by Cu-vapor-assisted CVD is comparable to that of the graphene grown by regular metal-catalyzed CVD on a Cu foil. While Cu vapor induces the nucleation and growth of SLG on an amorphous substrate, the resulting SLG is confirmed to be Cu-free by synchrotron X-ray photoelectron spectroscopy. The SLG grown by Cu-vapor-assisted CVD is fabricated into field effect transistor devices without transfer steps that are generally required when SLG is grown by regular CVD process on metal catalyst substrates. This method has overcome two important hurdles previously present when the catalyst-free CVD process is used for the growth of SLG on fused quartz and hexagonal boron nitride substrates, that is, high degree of structural defects and limited size of resulting graphene, respectively.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancac3/2013/ancac3.2013.7.issue-8/nn402847w/production/images/medium/nn-2013-02847w_0007.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nn402847w'>ACS Electronic Supporting Info</A></P>
Youngwook Kim,Nicholas Rech,Talin Louder,Eadric Bressel 대한운동학회 2022 아시아 운동학 학술지 Vol.24 No.3
OBJECTIVES To investigate the relationships among intramuscular cooling rates during (IM cooling rate) and after cold water immersion (CWI) (Post-IM cooling rate), skin tissue cooling rate during CWI (skin cooling rate), and anthropometric characteristics, and develop prediction models to assist clinical decision making. METHODS After a 30-min cycling trial, 16 young healthy adults received a CWI treatment (10 °C) until either intramuscular thigh temperature (2 cm sub-adipose) of the rectus femoris decreased 7 °C below preexercise level or 30 minutes was reached. Temperatures were recorded using skin and implantable finewire thermocouples. Before the cycling trial, %BF, anterior thigh adipose tissue thickness, muscle thickness, total thigh volume, and thigh circumference were measured. Pearson’s correlation coefficients were used to determine significant predictors of IM and Post-IM cooling rates (cooling rate: the amount of temperature reduction per minute). All predictors, including skin cooling rate, %BF, adipose tissue thickness, muscle thickness, total thigh volume, and thigh circumference, were included in multiple linear regression models to figure out factors that best predict the IM and Post-IM cooling rates. RESULTS Correlation analysis demonstrated significant correlations between IM cooling rate and skin cooling rate (r=.85), %BF (r=-.79), and adipose tissue thickness (r=-.79), and between Post-IM cooling rate and thigh circumference (r=-.68), adipose tissue thickness (r=-.58), total thigh volume (r=-.56), and %BF (r=-.53). Regression models identified skin cooling rate and %BF to have the greatest predictability for IM cooling rate (R2=.82) and muscle thickness and thigh circumference to have the greatest predictability for the Post-IM cooling rate (R2=.68). CONCLUSIONS This study provides justification for the use of skin cooling rates during CWI and %BF to estimate IM cooling rate and muscle thickness and thigh circumference to estimate Post-IM cooling rate. These findings will help practitioners to determine the duration of CWI treatment after exercise.