Institution
Ulsan National Institute of Science and Technology
Recent research
- Engineering & TechnologyOpen access
Memristive Motion‐Streak Neuron for Spatiotemporal Multiple Object Detection
ABSTRACT Conventional artificial vision systems process dynamic scenes inefficiently by reconstructing motion from discrete frames, which requires post‐processing. In contrast, real‐world environments containing multiple moving objects demand sensor‐level discrimination. This wor...
- AI & ComputingOpen access
Adaptive generalization and efficient learning under uncertainty
Abstract People often use recognizable features to infer the value of novel consumables. This “generalization” strategy is known to be beneficial in stable environments, such that individuals can use previously learned rules and values in efficiently exploring new situations. How...
- BiologyOpen access
Biomolecular condensates, including membraneless organelles, form through liquid-liquid phase separation (LLPS) driven by sequence-specific associations within intrinsically disordered protein regions. Understanding how sticker valence governs LLPS is essential for predicting pat...
- Climate & Environment
Abstract This study investigated the effects of antiagglomerant (AA) concentration and water cut (WC) on flow assurance within a gas hydrate-based CO2 capture and transport using a model water-in-oil (W/O) system for maritime applications. Phase equilibrium measurements revealed...
- Materials & EnergyOpen access
Building a Physics-Aware AI Ecosystem for Solid-State Hydrogen Storage Materials
Abstract Hydrogen storage remains a central bottleneck for scalable hydrogen energy systems due to the multiscale and coupled nature of the thermodynamics, kinetics, and microstructural evolution of hydrogen storage materials (HSMs). Although artificial intelligence (AI) has acce...
- Engineering & TechnologyOpen access
Abstract Perylene diimide (PDI)-based electron-transport layers (ETLs) are fundamental in governing charge extraction, interfacial recombination, and the operational longevity of organic solar cells (OSCs), yet their molecular design still lacks transferable principles. Here we p...
- Engineering & Technology
Optoelectronic Resistive Switching Memory Enabled by a Zero‐dimensional Manganese(II) Hybrid Complex
ABSTRACT Lead‐free organic–inorganic hybrid metal halide compounds are emerging as promising alternatives to conventional lead‐based materials for optoelectronic applications. However, their implementation in non‐volatile memory devices remains largely unexplored. Herein, we repo...
- Society & EconomicsOpen access
Most digital mental health interventions still deliver uniform content, without accounting for how a user’s fluctuating psychological state interacts with their stable individual characteristics. We propose a two-stage offline reinforcement learning (RL) framework, trained on dat...
- Materials & EnergyOpen access
Iron Oxide Photoanode for Glycerol-Assisted Hydrogen Production at 8.87 mA cm–2
Iron oxide (α-Fe2O3) is an attractive photoanode for photoelectrochemical water splitting because of its abundance, suitable band gap, and stability in water, yet its practical use remains limited by poor charge transport and sluggish water oxidation. Here we show that these limi...
- Materials & Energy
Hierarchical DefectEngineering for Spectral PhononControl in Monolayer MoS2
Abstract Two-dimensional (2D) transition-metal dichalcogenides are attractive for nanoelectronics and energy harvesting, where thermal transport critically impacts device reliability, performance, and energy efficiency. Here, we establish hierarchical defect engineering in monola...
- Engineering & TechnologyOpen access
ABSTRACT Dry‐processed high‐loading cathodes are essential for realizing high‐energy‐density lithium‐metal batteries because they increase areal capacity while minimizing inactive components. However, the dense and tortuous structure of dry‐processed ultra‐thick cathodes severely...