Korea Advanced Institute of Science and Technology

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...

One-Pot Self-Assembly Shaping of Polyamine-Supported Silica Adsorbents Using a CO2–Curable Silicate Binder

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...

Crystallization‐Driven Helical Conjugated Polymer Nanowires for Circularly Polarized Light‐Addressable Ferroelectric Physical Unclonable Functions

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...

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...

Bridging the GapBetween Laboratory Catalyst Researchand Practical Water Electrolyzer Commercialization

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...

Morphology-, noise-, and resolution-robust ultrasound elasticity imaging with Fourier neural operator.

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...

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...

Polar-Twisted Electron-Transport Layer Simultaneously Breaks Efficiency-Flexibility-Cost Limits in Organic Solar Cells

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...

The structural origin of irreversible transitions in biological networks

Cellular processes often exhibit irreversible state transitions even after external signals responsible for a transition are withdrawn. Long-standing questions remain: Where does such irreversibility originate from and can it be reversed? Although positive-feedback circuits among...

Meniscus‐Guided Soft‐Lithographic Assembly of Grid‐Type Molecular Martensite Films for Single‐Crystal‐Like Actuation

ABSTRACT Dynamic molecular martensites exhibit large, reversible deformations and high force densities. However, device integration has been limited by the brittleness and poor formability of single crystals. Here, we report a thin‐film route that translates molecular cooperativi...

On the Order of Intersecting Hypergraphs

Abstract. Determining the maximum number of edges in an intersecting hypergraph on a fixed ground set under additional constraints is one of the central topics in extremal combinatorics. In contrast, there are few results on analogous problems concerning the maximum order of such...

Three-DimensionalVisualization of Conductive Filamentsin TiO2 via Conductive Atomic Force Microscopy Tomography

Abstract Direct three-dimensional visualization of conductive filaments (CFs) in valence change memory is essential for resolving whether their spatial evolution is governed by stochastic defect generation or by electrode geometry. Here, we apply conductive atomic force microscop...

Diffusion-weighted chemical exchange saturation transfer MRI in the human brain at 7T

Metabolite diffusion provides information on unique intracellular environments that are not captured by water diffusion. Conventional diffusion-weighted magnetic resonance spectroscopy (DW-MRS) is a useful tool for probing metabolite diffusion, but lacks spatial information. In t...

Data-driven personalization of just-in-time adaptive mental health intervention via two-stage reinforcement learning approach

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...

Chirality-Matched Cyclopropenimine–Thiourea Organocatalysis for Regiocontrolled Ring-Opening Polymerization of Methyl Glycolide

Abstract Poly(lactic-co-glycolic acid) (PLGA) is widely used in biomedical applications owing to its high biodegradability and biocompatibility. Although the ring-opening polymerization (ROP) of methyl glycolide (MeG) offers a route to synthesizing alternating PLGA, the comparabl...

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...

Uncertainty-Aware Adaptive Edge Blocking in Heterophilic Graph Neural Networks

Graph Neural Networks (GNNs) deliver strong performance through message passing (MP), yet they can become fragile when graphs contain many heterophilic links or when edge types are predicted incorrectly. Earlier analyses suggest that signed message propagation can reduce over-smo...

Linker Symmetry Lowering as a Strategy to Tune Electronic Properties in Two‐Dimensional Conductive MOFs

ABSTRACT Two‐dimensional conductive metal–organic frameworks (2D cMOFs) have largely relied on highly symmetric linkers that give rise to symmetry‐protected electronic degeneracies. Although such symmetry usually promotes extended conjugation and often leads to high electrical co...

On-Orbit Servicing-Integrated Maintenance Strategy for a Satellite Constellation

This paper proposes a maintenance strategy for a satellite constellation that utilizes on-orbit servicing (OOS). Under this strategy, the constellation operator addresses satellite failures in two ways: by deploying new satellites and by recovering failed satellites through OOS....

Secure Multi-party Matrix Invertibility Testing over Small Finite Fields

Abstract removed due to JATS parsing error