A5069610959- Graphene research and applications
- Advanced Sensor and Energy Harvesting Materials
- Advanced Materials and Mechanics
- Cellular and Composite Structures
- Numerical methods in engineering
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Hydrogels: synthesis, properties, applications
- 2D Materials and Applications
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Orthopaedic implants and arthroplasty
- Electronic Packaging and Soldering Technologies
- Total Knee Arthroplasty Outcomes
- Ultrasonics and Acoustic Wave Propagation
- CAR-T cell therapy research
- Topological Materials and Phenomena
- Molecular Junctions and Nanostructures
- Conducting polymers and applications
- Metal and Thin Film Mechanics
- Immune cells in cancer
- Mechanical Behavior of Composites
- Cancer Immunotherapy and Biomarkers
- Image and Signal Denoising Methods
- Nuclear Physics and Applications
Samsung (South Korea)
2015-2025
Cellid (South Korea)
2022-2024
Chonnam National University
2015-2024
Soonchunhyang University
2023-2024
Chonnam National University Hospital
1995-2022
Seoul National University
2010-2021
Korea Research Institute of Chemical Technology
2017-2019
Gwangju University
2018-2019
Government of the Republic of Korea
2017-2019
Daejeon University
2017-2019
Dynamic crosslinking of extremely stretchable hydrogels with rapid self-healing ability is described. Using this new strategy, the obtained are able to elongate 100 times compared their initial length and completely self-heal within 30 s without external energy input.
Abstract During cancer immunoediting, loss of major histocompatibility complex class I (MHC-I) in neoplasm contributes to the evasion tumours from host immune system. Recent studies have demonstrated that most natural killer (NK) cells are found advanced cancers defective, releasing malignant MHC-I-deficient NK-cell-dependent control. Here, we show a T (NKT)-cell-ligand-loaded tumour-antigen expressing antigen-presenting cell (APC)-based vaccine effectively eradicates these tumours. this...
This study presents a novel self-welding-based interfacial reconfiguration strategy for preparing anisotropic tough hydrogels with user-programmed hierarchical orientation.
For practical device applications, monolayer transition metal dichalcogenide (TMD) films must meet key industry needs for batch processing, including the high-throughput, large-scale production of high-quality, spatially uniform materials, and reliable integration into devices. Here, high-throughput growth, completed in 12 min, 6-inch wafer-scale MoS2 WS2 is reported, which directly compatible with scalable processing integration. Specifically, a pulsed metal-organic chemical vapor...
In recent years, various hydrogels with a wide range of functionalities have been developed. However, owing to the two major drawbacks hydrogels-air-drying and water-swelling-hydrogels developed thus far yet achieve most their potential applications. Herein, bioinspired, facile, versatile method for fabricating high stability in both air water is reported. This includes creation bioinspired homogeneous fusion layer hydrophobic polymer oil outermost surface hydrogel via...
Conductive hydrogels are attracting increasing attention owing to their great potential for applications in flexible devices. For practical use, these high-water-content materials should not only show good conductivity but also be strong, stretchable, tough, and elastic. Herein, we describe a class of novel conductive tough based on strong staggered Fe3+-carboxyl coordinating interactions. They made from copolymers acrylamide N-acryloyl glutamic acid, bidentate-based comonomer. The design...
The growth of urban areas and the management energy resources highlight need for precise short-term load forecasting (STLF) in systems to improve economic gains reduce peak usage. Traditional deep learning models STLF present challenges addressing these demands efficiently due their limitations modeling complex temporal dependencies processing large amounts data. This study presents a groundbreaking hybrid model, BiGTA-net, which integrates bi-directional gated recurrent unit (Bi-GRU),...
An atomic vacancy is produced on a graphite surface by bombarding it with low-energy (40-80 eV) beams of ${\mathrm{Ar}}^{+}$ ions, and its structure examined scanning tunneling microscopy (STM) force (AFM). The imaged as protrusion in STM, while transparent AFM. These two contradictory results are explained the vacancy-induced enhancement partial charge density states at carbon atoms near vacancy. can occur over tens surrounding for multiatom
Scanning tunneling microscopy (STM) and density functional theory (DFT) calculations were used to investigate the surface morphology electronic structure of graphene synthesized on Cu by low temperature chemical vapor deposition (CVD). Periodic line patterns originating from arrangements carbon atoms passivate interaction between metal substrate graphene, resulting in flawless inherent band pristine graphene/Cu. The effective elimination states passivation is expected contribute growth...
Abstract Phonons, which are collective excitations in a lattice of atoms or molecules, play major role determining various physical properties condensed matter, such as thermal and electrical conductivities. In particular, phonons graphene interact strongly with electrons; however, unlike usual metals, these interactions between massless Dirac fermions appear to mirror the rather complicated physics those light relativistic electrons. Therefore, fundamental understanding underlying through...
Abstract PD-1–based cancer immunotherapy is a successful example of immune checkpoint blockade that provides long-term durable therapeutic effects in patients with across wide spectrum types. Accumulating evidence suggests anti-PD-1 therapy enhances antitumor immunity by reversing the function exhausted T cells tumor environment. However, responsiveness rate to remains low, providing an urgent need for optimization and improvement. In this study, we designed anti-PD-1–resistant mouse model...
Force sensors have attracted tremendous attention owing to their applications in various fields such as touch screens, robots, smart scales, and wearable devices. The force reported so far been mainly focused on high sensitivity based delicate microstructured materials, resulting low reproducibility fabrication cost that are limitations for wide applications. As an alternative, we demonstrate a novel capacitive-type sensor with enhanced performance the increased dielectric properties of...
We propose a new GAN-based unsupervised model for disentangled representation learning. The is discovered in an attempt to utilize the Information Bottleneck (IB) framework optimization of GAN, thereby named IB-GAN. architecture IB-GAN partially similar that InfoGAN but has critical difference; intermediate layer generator leveraged constrain mutual information between input and generated output. stochastic can serve as learnable latent distribution trained with jointly end-to-end fashion....
Abstract Robust multi‐level spin memory with the ability to write information electrically is a long‐sought capability in spintronics, great promise for applications. Here, nonvolatile and highly energy‐efficient magnetization switching achieved single‐material device formed of van‐der‐Waals (vdW) topological ferromagnet Fe 3 GeTe 2 , whose magnetic can be readily controlled by tiny current. Furthermore, current density power dissipation are about 400 4000 times smaller than those existing...