A5076574157- Nonlinear Dynamics and Pattern Formation
- Physics of Superconductivity and Magnetism
- Neural Networks and Reservoir Computing
- Power System Optimization and Stability
- Complex Network Analysis Techniques
- Benford’s Law and Fraud Detection
- Magnetic properties of thin films
- Social Media and Politics
- Quantum many-body systems
- Theoretical and Computational Physics
- Authorship Attribution and Profiling
- Computability, Logic, AI Algorithms
- Listeria monocytogenes in Food Safety
- Opinion Dynamics and Social Influence
- Economics of Agriculture and Food Markets
- Evolutionary Game Theory and Cooperation
- Neural dynamics and brain function
- Slime Mold and Myxomycetes Research
- Food Safety and Hygiene
- Supply Chain and Inventory Management
- Consumer Market Behavior and Pricing
- Food Supply Chain Traceability
- Advanced Condensed Matter Physics
- Ecosystem dynamics and resilience
Sungkyunkwan University
2016-2022
Asia Pacific Center for Theoretical Physics
2021
Topologically protected swirl of the magnetic texture known as skyrmion has become ubiquitous in both metallic and insulating chiral magnets. Meanwhile existence its three-dimensional analog, monopole, been suggested by various indirect experimental signatures MnGe compound. Although Ginzburg-Landau arguments favor formation a crystal monopoles antimonopoles have put forward, no microscopic model Hamiltonian was shown to support such phase. Here we present strong numerical evidence from...
Complex network analyses have provided clues to improve power-grid stability with the help of numerical models. The high computational cost simulations, however, has inhibited approach, especially when it deals dynamic properties power grids such as frequency synchronization. In this study, we investigate machine learning techniques estimate We test three different algorithms-random forest, support vector machine, and artificial neural network-training them two types synthetic consisting...
Abstract Interacting dynamic agents can often exhibit synchronization. It has been reported that the rhythm all agree on in synchronized state could be different from average of intrinsic rhythms individual agents. Hinted by such a real-world behavior interaction-driven change phase velocity, we propose modified version Kuramoto model, which i th oscillator ϕ interacts with other j only when difference $${{\phi }}_{{j}}$$ <mml:math...
We investigate the critical behavior of modified Kuramoto model with an asymmetric dynamic interaction which has been proposed to explain difference between synchronized frequency and average intrinsic frequency. find that discontinuous phase transition arises when oscillators interact only other whose phases are ahead. From comparison conventional in possesses reflection symmetry, we conclude dynamical symmetry breaking change structure play important roles changing nature from continuous ones.
We numerically study dynamic critical behavior of the one-dimensional $XY$ model with a long-range interaction by using Monte Carlo method and resistively-shunted Josephson junction model. The two models exhibit mean-field universality class in equilibrium as expected, but is shown to sensitively depend on details numerical simulation. In more detail, trial angle range simulation found alter value exponent, scaling time unit acceptance ratio be useful improve estimation exponent. compare...