7 citations · 8 across the 7 of their papers we have counts for
8 papers
Breathing chimera states from purely triadic interactions
Sudo Yi, Gug Young Kim, Gugyoung Kim +3
Chimera states, characterized by the coexistence of synchronized and desynchronized dynamics in identical oscillators, are typically studied in systems with pairwise interactions.…
Heterogeneous Network Topology Induces the Widom Line
Cook Hyun Kim, B. Kahng
The Widom line, initially identified as a crossover line between liquid-like and gas-like behavior in water and supercritical fluids, separates these two types of behavior. Here, w…
Phase lag enhances synchronization in coupled oscillators with inertia
Sudo Yi, Cook Hyun Kim, Heetae Kim +1
The second-order Kuramoto model with inertia exhibits different dynamical behaviors than the first-order KM without inertia. A central difference is its lower synchronization due t…
AI-Driven Stabilization in Power Grids through Controlling Line Admittances
Sangjoon Park, Hoyun Choi, Yongsun Lee +3
The global transition from traditional power plants to renewable energy sources introduces new challenges in grid stability, primarily because inverter-based technologies provide i…
Ashkin-Teller model with antiferromagnetic four-spin interactions: Interference effect between two conflicting issues
Cook Hyun Kim, Hoyun Choi, Joonsung Jung +1
Spin systems have emerged as powerful tools for understanding collective phenomena in complex systems. In this work, we investigate the Ashkin--Teller (AT) model on random scale-fr…
Neural Graph Simulator for Complex Systems
Hoyun Choi, Sungyeop Lee, B. Kahng +1
Numerical simulation is a predominant tool for studying the dynamics in complex systems, but large-scale simulations are often intractable due to computational limitations. Here, w…
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…
GNRK: Graph Neural Runge-Kutta method for solving partial differential equations
Hoyun Choi, Sungyeop Lee, B. Kahng +1
Neural networks have proven to be efficient surrogate models for tackling partial differential equations (PDEs). However, their applicability is often confined to specific PDEs und…