Publications by authors named "Sang-Soo Han"

Efficiently extracting data from tables in the scientific literature is pivotal for building large-scale databases. However, the tables reported in materials science papers exist in highly diverse forms; thus, rule-based extractions are an ineffective approach. To overcome this challenge, the study presents MaTableGPT, which is a GPT-based table data extractor from the materials science literature.

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Hydrogen peroxide (HO) electrosynthesis via the 2e oxygen reduction reaction (ORR) is considered as a cost-effective and safe alternative to the energy-intensive anthraquinone process. However, in more practical environments, namely, the use of neutral media and air-fed cathode environments, slow ORR kinetics and insufficient oxygen supply pose significant challenges to efficient HO production at high current densities. In this work, mesoporous B-doped carbons with novel curved BC active sites, synthesized via a carbon dioxide (CO) reduction using a pore-former agent, to simultaneously achieve excellent 2e ORR activity and improved mass transfer properties are introduced.

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The material acceleration platform, empowered by robotics and artificial intelligence, is a transformative approach for expediting material discovery processes across diverse domains. However, the development of an operating system for material acceleration platform faces challenges in simultaneously managing diverse experiments from multiple users. Specifically, when it is utilized by multiple users, the overlapping challenges of experimental modules or devices can lead to inefficiencies in both resource utilization and safety hazards.

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Climate Change and Materials Criticality challenges are driving urgent responses from global governments. These global responses drive policy to achieve sustainable, resilient, clean solutions with Advanced Materials (AdMats) for industrial supply chains and economic prosperity. The research landscape comprising industry, academe, and government identified a critical path to accelerate the Green Transition far beyond slow conventional research through Digital Technologies that harness Artificial Intelligence, Smart Automation and High Performance Computing through Materials Acceleration Platforms, MAPs.

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Article Synopsis
  • Surface Pourbaix diagrams are essential for understanding how nanomaterials behave in electrochemical settings.
  • A new model called BE-CGCNN, which uses bond-type embeddings, allows for more accurate and efficient predictions of adsorption energies, making it feasible to create Pourbaix diagrams for large nanoparticles up to 6525 atoms in size.
  • The findings show that these new diagrams align well with experimental results and offer a promising method for studying the electrochemical stability of various nanoparticle shapes and sizes.
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Aim: This study presents the impact of COVID-19 on revisits to the emergency department comparing revisit rates and characteristics between the pre-COVID-19 and COVID-19 periods.

Methods: This multi-center retrospective study included patients over 18 years of age who visited emergency departments during the pre-COVID-19 period and the COVID-19 pandemic. The revisit rates were analyzed according to five age groups; 18-34, 35-49, 50-64, 65-79, and ≥ 80 years, and three revisit time intervals; 3, 9, and 30 days.

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Unscheduled revisits to emergency departments (EDs) are important because they indicate the quality of emergency care. However, the characteristics of pediatric patients visiting EDs changed during the coronavirus disease (COVID-19) pandemic, and these changes may have affected their revisit patterns. Therefore, we aimed to compare the ED revisit patterns of pediatric patients between the pre-COVID-19 and COVID-19 periods.

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3D spheroids, which have the potential to bridge the gap between 2D cell culture and native tissue, are used as tissue models in many applications, particularly in cancer, stem cell, and pharmaceutical research. A considerable amount of effort has focused on the development of more relevant physiological models. However, spheroids still have limitations in that they cannot replicate the components and structure of the ECM in the natural environment.

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Background: Elder abuse is predicted to increase with the rapid population ageing in many countries. Violent injury is influenced by individual factors as well as interpersonal and social relationships, with different manifestations based on changes in the socioeconomic position of older adults. We comparatively investigated the clinical and injury characteristics of physical violence in the elderly with those in another age group.

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In direct HO synthesis, the Pd-Au alloy was considered as a potential catalyst because of its much better performance compared to the prototype Pd; unfortunately, achieving both high activity and selectivity remains a challenge. Here, we synthesized nonconcentric Pd-Au NPs in which Au domain shells are formed only partially on Pd domain cores and tested them for direct HO synthesis. It has three exposed regions of Pd, Au domains, and Pd-Au interfaces in a single NP (hence, a 3-in-1 strategy).

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Lactic acid bacteria (LAB) are probiotic candidates that may restore the balance of microbiota populations in intestinal microbial ecosystems by controlling pathogens and thereby promoting host health. The goal of this study was to isolate potential probiotic LAB strains and characterize their antimicrobial abilities against pathogens in intestinal microbiota. Among 54 LAB strains isolated from fermented products, five LAB strains (NSMJ15, NSMJ16, NSMJ23, NSMJ42, and NFFJ04) were selected as potential probiotic candidates based on in vitro assays of acid and bile salt tolerance, cell surface hydrophobicity, adhesion to the intestinal epithelium, and antagonistic activity.

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MALDI TOF MS-based microbial identification significantly lowers the operational costs because of minimal requirements of substrates and reagents for extraction. Therefore, it has been widely used in varied applications such as clinical, food, military, and ecological research. However, the MALDI TOF MS method is laced with many challenges including its limitation of the reference spectrum.

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Article Synopsis
  • A deep learning model has been developed to predict material properties using easily accessible experimental inputs, specifically chemical compositions and diffraction data.
  • The model utilizes a novel approach by creating a chemical composition vector from element embeddings, achieving accurate predictions with low error margins for formation energies and band gaps based on 1524 samples from the Materials Project database.
  • The study finds that chemical composition has a greater impact on material properties than crystal structure, and aims to enhance the practical application of deep learning models in materials science by using only direct experimental inputs.
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  • The study addresses the difficulty of accurately yet quickly predicting electronic structures of nanoparticles using traditional first-principles density functional theory (DFT).
  • A proposed machine-learning model combines principal component analysis (PCA) and crystal graph convolutional neural network (CGCNN) to efficiently predict the electronic density of states (DOS) for both pure and bimetallic nanoparticles, achieving high correlation values in test sets.
  • This PCA-CGCNN method dramatically reduces prediction time to about 160 seconds—far faster than the traditional DFT method—while still providing useful insights for experimental materials and their atomic structures.
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Nonelectrochemical hydrogen peroxide direct synthesis (HPDS) under ambient conditions is an environmentally benign and energy-efficient process that produces a green oxidizer, yet the reaction mechanism of HPDS is still controversial. Inspired by the recently suggested heterolytic mechanism that involves electron and proton transfer at Pd catalysts, we propose a new electrochemical density functional theory (DFT) model that combines the Butler-Volmer equation and constant-potential DFT with hybrid explicit-implicit solvent treatment. Application of this model to Pd surfaces showed that the heterolytic mechanism has a lower barrier for the protonation steps for HO production than for the nonelectrochemical hydrogenation steps, leading to advantageous kinetics for HO production over HO production, while the conventionally accepted Langmuir-Hinshelwood mechanism fails to explain the experimental kinetics.

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In computational catalysis, density-functional theory (DFT) calculations are usually utilized, although they suffer from high computational costs. Thus, it would be challenging to explicitly predict the catalytic properties of nanoparticles (NPs) at the nanoscale under solvents. Using molecular dynamics (MD) simulations with a reactive force field (ReaxFF), we investigated the catalytic performance of Ni-Pt NPs for the direct synthesis of hydrogen peroxide (HO), in which water solvents were explicitly considered along with the effects of the sizes (1.

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A Gram-positive, facultative anaerobic, catalase-negative, non-motile, non-spore-forming and rod-shaped lactic acid bacterium strain, denoted as NFFJ11 and isolated from total mixed fermentation feed in the Republic of Korea, was characterized through polyphasic approaches, including sequence analyses of the 16S rRNA gene and housekeeping genes ( and ), determination of average nucleotide identity and DNA-DNA hybridization, fatty acid methyl ester analysis, and phenotypic characterization. Phylogenetic analyses based on 16S rRNA, and gene sequences revealed that strain NFFJ11 belonged to the genus . The 16S rRNA gene sequence of strain NFFJ11 exhibited high similarity to S215 (99.

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This study reports the complete genome sequence of bisphenol A-degrading bacterium sp. strain A3, which was isolated from a contaminated soil sample from the site of a factory fire in South Korea. The genome consists of a 6.

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Discovering and developing ideal cell culture methods is important for cell biology, drug development, and cell therapy. Recent studies have explored and demonstrated the use of nanoscale structures and patterns that influence cell behavior, such as 3D scaffolds. In this study, we analyzed the effects of nanopatterned-surface dishes using chondrocytes as model cells.

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We report the complete genome sequence of SD5, isolated from a soil-derived di-(2-ethylhexyl) phthalate-degrading enrichment culture. The final genome assembly consists of a 5.10-Mbp chromosome and a plasmid (159 kbp).

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Article Synopsis
  • The study focuses on the synthesis of Ag-Cu-Pt-Pd quadrometallic nanoparticles by sequentially adding Pt and Pd to Janus AgCu bimetallic nanoparticles in solution.
  • Despite a minor presence of CuO, the resulting nanoparticles consists primarily of separate metallic components rather than an alloy.
  • The research highlights that varying the reduction rates of Ag and Cu, along with the sequential addition of Pt and Pd, are essential factors in creating these quadrometallic nanoparticles.
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In the present work, we report the complete genome sequence of NSMJ42, isolated from makgeolli (a Korean traditional alcoholic beverage) in South Korea. The final genome assembly consists of a 3.29-Mbp chromosome with 3,082 protein-coding sequences and a G+C content of 53.

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To improve the description of a coordinate bond of the reactive force field (ReaxFF), we have developed ReaxFF by explicitly incorporating the coordinate bond contribution, , into the original ReaxFF ( Chenoweth et al. 2008 , 112 , 1040 - 1053 ), in which the auxiliary functions are newly suggested to describe the plug-in behavior of lone-pair electrons from a donor atom to a vacant orbital of an acceptor atom. To validate the developed ReaxFF, we tested it in various systems, including a representative coordinate bond-containing molecule, namely, carbon monoxide or ammonia borane.

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Critical limb ischemia is one of the most common types of peripheral arterial disease. Preclinical development of ischemia therapeutics relies on the availability of a relevant and reproducible in vivo disease model. Thus, establishing appropriate animal disease models is essential for the development of new therapeutic strategies.

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strain NKJ218 was isolated from homemade kimchi in South Korea. The whole genome was sequenced using the PacBio RS II and Illumina NovoSeq 6000 platforms. Here, we report a genome sequence of strain NKJ218, which consists of a 1.

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