Institution
Korea Advanced Institute of Science and Technology
Recent research
- AI & Computing
First-Principle-Inspired Reduced-Order Models of Chemical Kinetics in Hydrogen System
In the present study, two different reduced-order models are proposed for the [Formula: see text] system by leveraging first-principles quasi-classical trajectory simulations and in-depth master equation analyses. The most recent available ab initio potential energy surface is ad...
- Materials & Energy
Abstract The two-electron/two-proton reduction of O2 to H2O2 has attracted considerable attention recently, as H2O2 is both a valuable oxidant and a potential fuel for H2O2 fuel cells. While metalloporphyrins have been extensively studied as efficient catalysts for this reaction,...
- Engineering & TechnologyOpen access
Metal-oxide-semiconductor (MOS)-based chemiresistive gas sensors are promising for real-time detection, but poor gas accessibility, stochastic charge transport, low selectivity, and high thermal burdens hinder their practical translation. Polymer templating provides a powerful ar...
- Materials & Energy
Light- and Temperature-Programmed Block Copolymer Capsules with Tunable Shell Nanostructures
Abstract Polymer capsules capable of adopting distinct shell nanostructures in response to external stimuli are attractive microcompartments for encapsulation, separation, and triggered release. Realizing such capsules requires orthogonal control, in which distinct stimuli indepe...
- Materials & EnergyOpen access
Organic electrochemical transistor (OECT) is a promising building block for bioelectronic and neuromorphic applications due to its high transconductance and low-voltage operation. However, microstructural instability and irreversible electrochemical degradation of the organic mix...
- Health & MedicineOpen access
Abstract Background Lung cancer remains a leading cause of cancer-related death, and chemotherapy is often limited by systemic toxicity and insufficient drug accumulation in lung tumors. Inhalable nanomedicine offers a route to address these limitations, but nanoparticle systems...
- Engineering & TechnologyOpen access
ABSTRACT Organic permeable base transistors (OPBTs) have attracted attention as vertical organic transistors that achieve high current density at a low operating voltage. While reducing organic semiconductor thicknesses is a common approach to improve performance in OPBTs, its su...
- Engineering & Technology
Pedestrian crashes on urban road networks are commonly modelled separately for intersections or road segments, potentially overlooking the network-level dependence between physically connected entities. This study developed a random-parameter spatial-joint logistic regression app...
- Engineering & TechnologyOpen access
Modeling the potential impact of storage on the US power sector in a multisector dynamic context
The electric power sector is expected to grow in size, importance, and complexity around the world as economies expand and electric supply technologies and demand patterns evolve in significant ways. Newer, rapidly growing sectors could alter the temporal profile of electricity d...
- Climate & EnvironmentOpen access
Abstract Background Poly(ethylene terephthalate) (PET) is one of the most widely used synthetic plastics, yet its environmental accumulation continues to outpace effective recycling. Although PET-degrading enzymes and microorganisms have been reported, discovery of new PET-degrad...
- Health & MedicineOpen access
Terminal exhaustion of CD8⁺ T cells limits the efficacy of immune checkpoint blockade (ICB), particularly in glioblastoma, which is characterized by an immunosuppressive tumor microenvironment. Therefore, a better understanding of the regulators of terminal exhaustion could overc...
- Society & Economics
Job Rotation as an Organizational Learning Mechanism: From Short-term Loss to Long-term Gain
Despite its losses, job rotation has long been an established organizational practice across sectors. This study examines when and why short-term losses from job rotation are transformed into long-term gains through an organizational learning process. Existing job-rotation resear...
- Materials & EnergyOpen access
Molecular filming: A director's grammar for visualizing chemistry in motion
Abstract Time‐resolved x‐ray and electron scattering now follow the changing structures of molecules directly, on femtosecond timescales and sub‐ångström length scales. The community has long captured this achievement in one evocative phrase: the molecular movie. Yet that phrase...
- BiologyOpen access
A Survey on Centrality and Importance Measures in Hypergraphs: Categorization and Empirical Insights
Identifying central entities and interactions is a fundamental problem in network science. While well-studied for graphs (pairwise relations), many biological and social systems exhibit higher-order interactions best modeled by hypergraphs. This has led to a proliferation of spec...
- AI & Computing
Supramolecular helices of conjugated polymers (CPs) offer versatile chiroptical selectivity, yet their responses are often limited to passive optical readouts and lack stability as nonvolatile electrical states. Here, we report crystallization-driven helical CP nanowires (NWs) th...
- Physics & SpaceOpen access
Lithium Niobate Electro‐Optic Photonic Processor for Variational Quantum Eigensolver
Encoding quantum information in high-dimensional photonic states as a qudit provides a powerful route to resource-efficient quantum simulation. Among various integrated photonic platforms, lithium niobate on insulator is particularly attractive because it combines low optical los...
- Engineering & Technology
Abstract Polyamine-containing porous adsorbents are promising materials for CO2 capture, but practical deployment requires shaping into mechanically robust bodies without sacrificing adsorption performance. Conventional shaping methods typically rely on high-temperature calcinati...
- Materials & EnergyOpen access
Abstract Water electrolyzers are key technologies for enabling a carbon-neutral society by facilitating sustainable hydrogen production. Despite extensive efforts to develop highly active catalysts, a persistent gap remains between catalyst performance evaluated in rotating disk...
- Health & Medicine
Quasi-static strain elastography is a non-invasive technique for estimating tissue stiffness fields from displacement fields obtained by comparing ultrasound signals before and after compression. While recent deep learning approaches have enabled faster and more accurate elastici...
- 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...