A5004143806- Advanced Battery Materials and Technologies
- Advanced Battery Technologies Research
- Advancements in Battery Materials
- ECG Monitoring and Analysis
- EEG and Brain-Computer Interfaces
- Ionic liquids properties and applications
- Non-Invasive Vital Sign Monitoring
- Polymer Surface Interaction Studies
- Hydrological Forecasting Using AI
- Advanced Sensor and Energy Harvesting Materials
- Neuroscience and Neural Engineering
- Spectroscopy and Quantum Chemical Studies
- Block Copolymer Self-Assembly
- Extraction and Separation Processes
- Conducting polymers and applications
- Chalcogenide Semiconductor Thin Films
- Fuel Cells and Related Materials
- Electrocatalysts for Energy Conversion
- Nuclear reactor physics and engineering
- Protein Structure and Dynamics
- Neural Networks and Applications
- Machine Learning in Materials Science
- Hydrogels: synthesis, properties, applications
- Groundwater flow and contamination studies
Gachon University
2023-2025
Seoul National University
2021-2025
The global pursuit of carbon neutrality is driving efforts toward environmentally friendly aqueous electrode manufacturing. However, the inherent chemical reactivity water with cathode materials remains a challenge to achieving this goal. Here, we design class processing solutions based on kosmotropic effect. Ion hydration shells in are restructured form an ordered state anion–water clusters and stabilize local structure adjacent materials. Consequently, interfacial side reactions structural...
Unit-cell-thick MoS2 is a promising electrocatalyst for the hydrogen evolution reaction (HER) owing to its tunable catalytic activity, which determined based on energetics and molecular interactions of different types HER active sites. Kinetic responses sites, including onset, diffusion electrolyte H2 bubbles, continuation these processes, are important factors affecting activity . Investigating requires direct real-time analysis occurring spatially independent Herein, surface observed in...
One of the key advantages using a hydrogel is its superb control over elasticity obtained through variations constituent polymer and water. The underlying molecular nature fundamental origin mechanics. In this article, we report Polyacrylamide (PAAm)-based model MARTINI coarse-grained (CG) force field. molecularly developed Iterative Boltzmann inversion (IBI) all-atom dynamics (AAMD), quality evaluated experimental realization target hydrogel. offers mechanically high-fidelity CG that can...
Abstract Nonflammable lithium‐ion batteries (LIBs) are developed by adapting polymer solid electrolytes, but their insufficient electrochemical performance has not been fully addressed to date. Crosslinked gel electrolytes with minimal organic solvents (hard gels) proven be nonflammable lithium metal battery is comparable those of conventional liquid electrolyte‐based systems. Here, a semi‐interpenetrating network (semi‐IPN) ion‐transporting film that comprises UV‐curable crosslinked and...
The electrocardiogram (ECG) is an effective tool for monitoring various health conditions, and animal studies using ECG have uncovered new information about complex diseases. However, electrophysiological signals in small animals such as mice has been challenging. In this study, we present a simple, minimally invasive, inexpensive measurement sensory system that offers real-time data acquisition while performing surgery. We developed miniaturized, wearable device utilizes miniature-sized,...
Abstract Lithium ion transport in a poly‐(ethylene oxide) (PEO) branched nanopore filled with solution of [lithium][bis(trifluoromethanesulfonyl)imide]/[1‐butyl‐1‐methylpyrrolidinium][bis(trifluoromethanesulfonyl)imide] (LiTFSI/PYR 14 TFSI) was investigated by molecular dynamics using many‐body polarizable force field. The structural and dynamic properties lithium ions the nanopores different sizes ratios to PEO chains were examined. first coordination shell had lower intensity longitudinal...
Understanding water behavior in salt solutions remains a notable challenge computational chemistry. Conventional force fields have shown limitations accurately representing water’s properties across different types (chaotropes and kosmotropes) concentrations, demonstrating the need for better methods. Machine learning field applications chemistry, especially through deep potential molecular dynamics (DPMD), offer promising alternative that closely aligns with accuracy of first-principles Our...
Understanding the dynamics of water in salt solutions is a complex challenge that computational chemists have been addressing. Previously, force fields encountered difficulties fully capturing detailed behaviors presence various salts and concentrations, highlighting necessity for more sophisticated approaches. The emergence machine learning chemistry, particularly through innovations like Deep Potential Molecular Dynamics (DPMD), offers promising alternative closely aligns with accuracy...
Electrocardiographic (ECG) R-peak detection is essential for every sensor-based cardiovascular health monitoring system. To validate detectors, comparing the predicted results with reference annotations crucial. This comparison typically performed using tools provided by waveform database (WFDB) or custom methods. However, many studies fail to provide detailed information on validation process. The literature also highlights inconsistencies in reporting window size, a crucial parameter used...
State-of-the-art text-to-image (T2I) diffusion models often struggle to generate rare compositions of concepts, e.g., objects with unusual attributes. In this paper, we show that the compositional generation power on such concepts can be significantly enhanced by Large Language Model (LLM) guidance. We start empirical and theoretical analysis, demonstrating exposing frequent relevant target during sampling process yields more accurate concept composition. Based this, propose a training-free...