40 citations · 143 across the 13 of their papers we have counts for
8 papers · 1 filter
Chimera states in neural networks and power systems
Shengfeng Deng, Géza Ódor
Partial, frustrated synchronization and chimera-like states are expected to occur in Kuramoto-like models if the spectral dimension of the underlying graph is low: . We pr…
Revisiting and modeling power-law distributions in empirical outage data of power systems
Bálint Hartmann, Shengfeng Deng, Géza Ódor +1
The size distribution of planned and forced outages and following restoration times in power systems have been studied for almost two decades and has drawn great interest as they d…
Synchronization transition of the second-order Kuramoto model on lattices
Géza Ódor, Shengfeng Deng
The second-order Kuramoto equation describes synchronization of coupled oscillators with inertia, which occur in power grids for example. Contrary to the first-order Kuramoto equat…
Critical behavior of the diffusive susceptible-infected-recovered model
Shengfeng Deng, Géza Ódor
The critical behavior of the non-diffusive susceptible-infected-recovered model on lattices had been well established in virtue of its duality symmetry. By performing simulations a…
Synchronization dynamics on the EU and US power grids
Géza Ódor, Shengfeng Deng, Bálint Hartmann +1
Dynamical simulation of the cascade failures on the EU and USA high-voltage power grids has been done via solving the second-order Kuramoto equation. We show that synchronization t…
Transfer learning of phase transitions in percolation and directed percolation
Jianmin Shen, Feiyi Liu, Shiyang Chen +6
The latest advances of statistical physics have shown remarkable performance of machine learning in identifying phase transitions. In this paper, we apply domain adversarial neural…
Machine learning of pair-contact process with diffusion
Jianmin Shen, Wei Li, Shengfeng Deng +3
The pair-contact process with diffusion (PCPD), a generalized model of the ordinary pair-contact process (PCP) without diffusion, exhibits a continuous absorbing phase transition.…
Supervised and unsupervised learning of directed percolation
Jianmin Shen, Wei Li, Shengfeng Deng +1
Machine learning (ML) has been well applied to studying equilibrium phase transition models, by accurately predicating critical thresholds and some critical exponents. Difficulty w…