Publications by authors named "Jaeboong Choi"

Article Synopsis
  • Hospital call centers are vital for supporting cancer patients and accurately identifying their inquiries is essential, but existing models like LSTM and BERT face challenges due to their reliance on labor-intensive, annotated datasets.
  • This study tests GPT-4's ability to classify the intents of cancer patient phone consultations and compares its performance with traditional models like LSTM and BERT, particularly in handling complex queries.
  • GPT-4 demonstrates superior accuracy (85.2%) compared to LSTM (73.7%) and BERT (71.3%) in processing patient inquiries, showing its effectiveness with fewer training examples.
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Extreme gradient boosting (XGBoost) is an artificial intelligence algorithm capable of high accuracy and low inference time. The current study applies this XGBoost to the production of platinum nano-film coating through atomic layer deposition (ALD). In order to generate a database for model development, platinum is coated on α-Al2O3 using a rotary-type ALD equipment.

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The local buckling behavior of vertically aligned carbon nanotubes (VACNTs) has been investigated and interpreted in the view of a collective nanotube response by taking van der Waals interactions into account. To the best of our knowledge, this is the first report on the case of collective VACNT behavior regarding van der Waals force among nanotubes as a lateral support effect during the buckling process. The local buckling propagation and development of VACNTs were experimentally observed and theoretically analyzed by employing finite element modeling with lateral support from van der Waals interactions among nanotubes.

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Different chemical vapour deposition (CVD) fabrication conditions lead to a wide range of variation in the microstructure and morphologies of carbon nanotubes (CNTs), which actually determine the compressive mechanical properties of CNTs. However, the underlying relationship between the structure/morphology and mechanical properties of CNTs is not fully understood. In this study, we characterized and compared the structural and morphological properties of three kinds of vertically aligned carbon nanotube (VACNT) arrays from different CVD fabrication methods and performed monotonic compressive tests for each VACNT array.

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Preventing reactive gas species such as oxygen or water is important to ensure the stability and durability of organic electronics. Although inorganic materials have been predominantly employed as the protective layers, their poor mechanical property has hindered the practical application to flexible electronics. The densely packed hexagonal lattice of carbon atoms in graphene does not allow the transmission of small gas molecules.

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Recently, carbon materials such as carbon nanotubes and graphene have been proposed as alternatives to indium tin oxide (ITO) for fabricating transparent conducting materials. However, obtaining low sheet resistance and high transmittance of these carbon materials has been challenging due to the intrinsic properties of the materials. In this paper, we introduce highly transparent and flexible conductive films based on a hybrid structure of graphene and an Ag-grid.

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Due to their exceptional flexibility and transparency, CVD graphene films have been regarded as an ideal replacement of indium tin oxide for transparent electrodes, especially in applications where electronic devices may be subjected to large tensile strain. However, the search for a desirable combination of stretchability and electrochemical performance of such devices remains a huge challenge. Here, we demonstrate the implementation of a laminated ultrathin CVD graphene film as a stretchable and transparent electrode for supercapacitors.

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Doping is an efficient way to engineer the conductivity and the work function of graphene, which is, however, limited to wet-chemical doping or metal deposition particularly for n-doping, Here, we report a simple method of modulating the electrical conductivity of graphene by dual-side molecular n-doping with diethylenetriamine (DETA) on the top and amine-functionalized self-assembled monolayers (SAMs) at the bottom. The resulting charge carrier density of graphene is as high as -1.7 × 10(13) cm(-2), and the sheet resistance is as low as ∼86 ± 39 Ω sq(-1), which is believed to be the lowest sheet resistance of monolayer graphene reported so far.

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Various computational models have gained immense attention by analyzing the dynamic characteristics of proteins. Several models have achieved recognition by fulfilling either theoretical or experimental predictions. Nonetheless, each method possesses limitations, mostly in computational outlay and physical reality.

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A tactile display is an important tool to help humans interact with machines by using touch. In this paper, we present a transparent and stretchable graphene-based actuator for advanced tactile displays. The proposed actuator is composed of transparent and compliant graphene electrodes and a dielectric elastomer substrate.

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Graphene is a zero band-gap semi-metal with remarkable electromagnetic and mechanical characteristics. This study is the first ever attempt to use graphene in the surface plasmon resonance (SPR) sensor as replacement material for gold/silver. Graphene, comprised of a single atomic layer of carbon, is a purely two-dimensional material and it is an ideal candidate for use as a biosensor because of its high surface-to-volume ratio.

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Graphene films grown on metal substrates by chemical vapor deposition (CVD) method have to be safely transferred onto desired substrates for further applications. Recently, a roll-to-roll (R2R) method has been developed for large-area transfer, which is particularly efficient for flexible target substrates. However, in the case of rigid substrates such as glass or wafers, the roll-based method is found to induce considerable mechanical damages on graphene films during the transfer process, resulting in the degradation of electrical property.

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Article Synopsis
  • Recent studies have focused on developing fiber optic sensor systems for detecting various gases and vapors; this study introduces a novel polymer optical fiber (POF) sensor that utilizes graphene for acetone vapor sensing.
  • The sensor operates based on the relationship between reflectance changes and the adsorption of acetone molecules on the graphene film, which was synthesized and characterized using advanced techniques like atomic force microscopy and Raman spectroscopy.
  • Results indicate that the graphene-coated POF sensor significantly improves sensitivity to acetone vapor, detecting concentrations ranging from 44 ppm to 352 ppm, marking a pioneering application of graphene in this sensing context.
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  • Researchers developed high-performance, flexible, transparent heaters using large-scale graphene films made via chemical vapor deposition.
  • The graphene heaters exhibit low sheet resistance of ∼43 Ohm/sq and high optical transmittance of ∼89%, outperforming traditional indium tin oxide heaters in both temperature control and heat distribution.
  • These heaters maintain efficiency even under mechanical strain (up to ∼4%) and have potential applications in areas like automobile defogging and heatable smart windows.
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New advanced composite materials have recently been of great interest. Especially, many researchers have studied on nano/micro composites based on matrix filled with nano-particles, nano-tubes, nano-wires and so forth, which have outstanding characteristics on thermal, electrical, optical, chemical and mechanical properties. Therefore, the need of numerical approach for design and development of the advanced materials has been recognized.

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Article Synopsis
  • The study investigates how the duration of catalyst reduction with hydrogen (H2) affects the growth of carbon nanotubes (CNTs).
  • It reveals that variations in catalyst reduction time influence CNT properties like height, growth rate, diameter, number of walls, and overall alignment.
  • After 10 hours of treatment, highly aligned, double-walled CNT forests reaching 9 mm in height were successfully created, with catalyst characteristics playing a key role in this alignment.
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Article Synopsis
  • Microfluidic channels are important for controlling nanoscale objects like nanoparticles and DNA but are challenging to design due to high fabrication costs and complex experiments.
  • Numerical methods can help predict the performance of these channels by addressing issues like nanowire alignment and cell adhesion, offering a more cost-effective alternative.
  • This paper presents an updated immersed finite element method that simulates nanoparticle movements, examines the effects of Brownian motion under varying temperatures, and predicts improved focusing efficiency in a double lens system.
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Article Synopsis
  • - The formation of vertically aligned carbon nanotube (CNT) forests is influenced by the geometry of gas flow during the chemical vapor deposition (CVD) process, affecting their growth directions.
  • - By adjusting the growth time, flow rate, and gas direction, researchers found that local gas flow variations, especially from microchannels, significantly impact the direction and angle of CNT growth.
  • - A computational fluid dynamics (CFD) model helped explain the impact of gas flow on CNT directionality, suggesting that manipulation of local pressure in the microchannels could enhance control over CNT structures for various applications.
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  • Elastomer, specifically polydimethylsiloxane (PDMS), is being explored for pressure and force monitoring due to its unique deformation properties.
  • A pressure sensor has been developed that utilizes PDMS and plastic optical fiber (POF) to measure pressure by guiding light through the PDMS block and detecting changes in light transmissivity from deformation.
  • The sensor demonstrated a strong performance, responding accurately to pressures up to 478 kPa, with high sensitivity and consistency, making it suitable for various industrial and automotive uses.
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  • We studied how the combination of iron (Fe) as a catalyst and aluminum oxide (Al2O3) as a buffer layer affects the growth of multiwalled carbon nanotubes (CNTs) using thermal chemical vapor deposition.
  • We used ethylene as the main gas, argon as a carrier, and added hydrogen for the process, optimizing the catalyst layers to achieve desired properties of the CNTs.
  • Under the best conditions, we successfully created vertically aligned CNTs approximately 1 cm long within 10 hours, and we analyzed their characteristics using techniques like SEM, TEM, and Raman spectroscopy.
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Article Synopsis
  • The study focuses on simulating a nanoparticle focusing lens within a microfluidic channel to improve the selection and transfer of biomolecules, addressing challenges in nano and bioengineering.
  • An advanced immersed finite element method is used to track the movement of nanoparticles, factoring in Brownian motion and the initial positions of the particles, while treating the fluid flow as an incompressible viscous medium.
  • The results show that both moving and stationary nanoparticles can be effectively focused in the channel, suggesting that this numerical method could enhance microfluidic channel design for various applications in biotechnology.
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We proposed to use a miniature single-walled carbon nanotube (SWNT) sensor, fabricated by alternating current dielectrophoresis, to detect dissociated and oxidized sulfur hexafluoride (SF6) gas species generated by partial discharge (PD) activity in a concealed chamber such as gas-insulated switchgear (GIS). The SWNT sensor did not react with pure SF6 gas but sensitively responded to the dissociated and oxidized SF6 species. Also, the SWNT sensor could be regenerated by purging with fresh air since the transduction was based on the physisorption of analytes.

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  • The study examined how different exposure times to ultraviolet (UV) light affect single-walled carbon nanotubes (SWNTs) that are wrapped in single-strand DNA (ssDNA).
  • The researchers used absorption and Raman spectroscopy to measure changes in the properties of these nanotubes after UV exposure.
  • Results showed that the absorbance of the ssDNA-wrapped SWNTs decreased, and those wrapped with a specific type of ssDNA (polyd(T)) tended to clump together when exposed to UV light.
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Monitoring of argon gas dissociation was demonstrated using a matted sheet of single-walled carbon nanotubes (SWNTs), prepared by alternating current dielectrophoresis. The conductance of the SWNT network increased upon exposure to dissociated byproducts induced by corona discharge (CD), and the sensor signal was recovered rapidly by purging with the pure argon. Similar experiments on argon plasma were also carried out to investigate the applicability of the SWNT sensor in the monitoring of plasma-induced dissociation.

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Carbon nanotubes (CNTs) have advantages as conductive fillers due to their large aspect ratio and excellent conductivity. In this study, a novel silver/conducting polymer composite was developed by the incorporation of silver-plated CNTs. It is important to achieve a homogeneous dispersion of nanotubes and to improve the interfacial bonding to utilize the excellent properties of reinforcements in the matrix material.

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