output
20102026
most citedUniversal Chemomechanical Design Rules for Solid-Ion Conductors to Prevent Dendrite Formation in Lithium Metal Batteries

189 citations

22 papers

cond-mat.str-el2026

Multistage spin correlations in the = 1/2 stuffed hyper-star lattice LiCu(MoO)

J. Khatua, Taeyun Kim, G. Senthil Murugan +11

Star lattice, which can be visualized as a honeycomb network with each vertex replaced by a triangle, provides a rare platform for realizing exotic quantum states such as quantum s…

cond-mat.mtrl-sci2026★ 1 cited

Plasmonic polaron in self-intercalated 1T-TiS2

Byoung Ki Choi, Woojin Choi, Zhiyu Tao +24

Electron-boson coupling is central to a comprehensive understanding of the diverse physical phenomena emerging from many-body interactions. Yet less attention has been paid to how…

cond-mat.mtrl-sci2025★ 1 cited

Awakening catalytically active surface of BaRuO3 thin film for alkaline hydrogen evolution

Jegon Lee, Dohyun Kim, Seulgi Ji +9

The dynamic reconstruction of surfaces during electrochemical reactions plays a crucial role in determining the performance of electrocatalysts. However, because reconstructions oc…

cond-mat.str-el2025★ 1 cited

Possible Bose-Einstein condensation of magnons in a S = 5/2 honeycomb lattice

J. Khatua, S. M. Kumawat, G. Senthil Murugan +5

Quantum magnets offer a unique platform for exploring exotic quantum phases and quantum phase transitions through external magnetic fields. A prominent example is the field-induced…

physics.soc-ph2024★ 1 cited

Kaleidoscopic reorganization of network communities across different scales

Wonhee Jeong, Daekyung Lee, Heetae Kim +1

The notion of structural heterogeneity is pervasive in real networks, and their community organization is no exception. Still, a vast majority of community detection methods assume…

physics.soc-ph2024★ 7 cited

Reinforcement Learning Optimizes Power Dispatch in Decentralized Power Grid

Yongsun Lee, Hoyun Choi, Laurent Pagnier +6

Effective frequency control in power grids has become increasingly important with the increasing demand for renewable energy sources. Here, we propose a novel strategy for resolvin…

eess.SY2024★ 3 cited

Multi-technology co-optimization approach for sustainable hydrogen and electricity supply chains considering variability and demand scale

Sunwoo Kim, Joungho Park, Jay H. Lee

In the pursuit of a carbon-neutral future, hydrogen emerges as a pivotal element, serving as a carbon-free energy carrier and feedstock. As efforts to decarbonize sectors such as h…

econ.GN2024★ 12 cited

Integrating solid direct air capture systems with green hydrogen production: Economic synergy of sector coupling

Sunwoo Kim, Joungho Park, Jay H. Lee

In the global pursuit of sustainable energy solutions, mitigating carbon dioxide (CO2) emissions stands as a pivotal challenge. With escalating atmospheric CO2 levels, the imperati…

cs.IR2024★ 3 cited

Review-Based Hyperbolic Cross-Domain Recommendation

Yoonhyuk Choi, Jiho Choi, Taewook Ko +1

The issue of data sparsity poses a significant challenge to recommender systems. In response to this, algorithms that leverage side information such as review texts have been propo…

cond-mat.stat-mech2023★ 10 cited

Unified framework for hybrid percolation transitions based on microscopic dynamics

Hoyun Choi, Y. S. Cho, Raissa D'Souza +2

A hybrid percolation transition (HPT) exhibits both discontinuity of the order parameter and critical behavior at the transition point. Such dynamic transitions can occur in two wa…

eess.SP2023★ 1 cited

Protection Against Graph-Based False Data Injection Attacks on Power Systems

Gal Morgenstern, Jip Kim, James Anderson +2

Graph signal processing (GSP) has emerged as a powerful tool for practical network applications, including power system monitoring. Recent research has focused on developing GSP-ba…

cs.LG2023★ 9 cited

Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification

Yoonhyuk Choi, Jiho Choi, Taewook Ko +1

Graph Neural Networks (GNNs) have proven to be powerful in many graph-based applications. However, they fail to generalize well under heterophilic setups, where neighbor nodes have…

cond-mat.stat-mech2022★ 3 cited

How to grow an oscillator network with enhanced synchronization

Jong-Min Park, Daekyung Lee, Heetae Kim

We study a way to set the natural frequency of a newly added oscillator in a growing network to enhance synchronization. Population growth is one of the typical features of many os…

cs.IR2021★ 22 cited

Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation

Yoonhyuk Choi, Jiho Choi, Taewook Ko +2

A cross-domain recommendation has shown promising results in solving data-sparsity and cold-start problems. Despite such progress, existing methods focus on domain-shareable inform…

cond-mat.stat-mech2021★ 1 cited

Resolving mean-field solutions of dissipative phase transitions using permutational symmetry

Minjae Jo, Bukyoung Jhun, B. Kahng

Phase transitions in dissipative quantum systems have been investigated using various analytical approaches, particularly in the mean-field (MF) limit. However, analytical results…

physics.data-an2021★ 1 cited

Self-consistent gravity model for inferring node mass in flow networks

Daekyung Lee, Wonguk Cho, Heetae Kim +3

The gravity model, inspired by Newton's law of universal gravitation, has long served as a primary tool for interpreting trade flows between countries, using a country's economic `…

physics.soc-ph2021★ 21 cited

Power-grid stability predictions using transferable machine learning

Seong-Gyu Yang, Beom Jun Kim, Seung-Woo Son +1

Complex network analyses have provided clues to improve power-grid stability with the help of numerical models. The high computational cost of numerical simulations, however, has i…

physics.soc-ph2021★ 5 cited

How modular structure determines operational resilience of power grids

Heetae Kim

The synchronization stability has been analyzed as one of the important dynamical characteristics of power grids. In this study, we bring the operational perspective to the synchro…

physics.soc-ph2021★ 18 cited

Consistency landscape of network communities

Daekyung Lee, Sang Hoon Lee, Beom Jun Kim +1

The concept of community detection has long been used as a key device for handling the mesoscale structures in networks. Suitably conducted community detection reveals various embe…

physics.soc-ph2020★ 15 cited

Covid-19 epidemic under the K-quarantine model: Network approach

K. Choi, Hoyun Choi, B. Kahng

The Covid-19 pandemic is ongoing worldwide, and the damage it has caused is unprecedented. For prevention, South Korea has adopted a local quarantine strategy rather than a global…

cond-mat.mtrl-sci2019★ 189 cited

Universal Chemomechanical Design Rules for Solid-Ion Conductors to Prevent Dendrite Formation in Lithium Metal Batteries

Chengyin Fu, Victor Venturi, Zeeshan Ahmad +3

Dendrite formation during electrodeposition while charging lithium metal batteries compromises their safety. While high shear modulus solid-ion conductors (SICs) have been prioriti…

cond-mat.mes-hall2010★ 40 cited

Dissociation of ssDNA - Single-Walled Carbon Nanotube Hybrids by Watson-Crick Base Pairing

Seungwon Jung, Misun Cha, Jiyong Park +5

The unwrapping event of ssDNA from the SWNT during the Watson-Crick base paring is investigated through electrical and optical methods, and binding energy calculations. While the s…