7 citations · 8 across the 5 of their papers we have counts for
6 papers
Reinforcement Learning for Graph Generation under a Hard Assortativity Constraint
Hoyun Choi, Junghyo Jo, Deok-Sun Lee
Generating graph ensembles with precisely controlled structural properties is central to investigating how network structure shapes function. Canonical ensembles impose constraints…
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…