Shengfeng Deng
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View article: Dual Reinforcement Learning Synergy in Resource Allocation: Emergence of Self-Organized Momentum Strategy
Dual Reinforcement Learning Synergy in Resource Allocation: Emergence of Self-Organized Momentum Strategy Open
In natural ecosystems and human societies, self-organized resource allocation and policy synergy are ubiquitous and significant. This work focuses on the synergy between Dual Reinforcement Learning Policies in the Minority Game (DRLP-MG) t…
View article: Supervised and unsupervised learning with numerical computation for the Wolfram cellular automata
Supervised and unsupervised learning with numerical computation for the Wolfram cellular automata Open
The local rules of Wolfram cellular automata with one-dimensional three-cell neighborhoods are represented by eight-bit binary that encode deterministic update rules. These automata are widely utilized to investigate self-organization phen…
View article: A short proof for the acyclicity of oriented exchange graphs of cluster algebras
A short proof for the acyclicity of oriented exchange graphs of cluster algebras Open
The statement in the title was proved in \cite{Cao23} by introducing dominant sets of seeds, which are analogs of torsion classes in representation theory. In this note, we observe a short proof by the existence of consistent cluster scatt…
View article: Frustrated Synchronization of the Kuramoto Model on Complex Networks
Frustrated Synchronization of the Kuramoto Model on Complex Networks Open
We present a synchronization transition study of the locally coupled Kuramoto model on extremely large graphs. We compare regular 405 and 1004 lattice results with those of 12,0002 lattice substrates with power-law decaying long links (ll)…
View article: Frustrated Synchronization of the Kuramoto Model on Complex Networks
Frustrated Synchronization of the Kuramoto Model on Complex Networks Open
We present a synchronization transition study of the locally coupled Kuramoto model on extremely large graphs. We compare regular 405 and 1004 lattice results with those of 120002 lattice substrates with power-law decaying long links (ll).…
View article: Dynamical heterogeneity and universality of power-grids
Dynamical heterogeneity and universality of power-grids Open
Electric power systems during transient states are extensively investigated using variations of the Kuramoto model to analyze their dynamic behavior. However, the majority of current models fail to capture the physics of power flows and th…
View article: Chimera-like states in neural networks and power systems
Chimera-like states in neural networks and power systems Open
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: ds<4. We provide numerical evidence that this really happens in the cas…
View article: Supervised, semi-supervised, and unsupervised learning of the Domany-Kinzel model
Supervised, semi-supervised, and unsupervised learning of the Domany-Kinzel model Open
The Domany Kinzel (DK) model encompasses several types of non-equilibrium phase transitions, depending on the selected parameters. We apply supervised, semi-supervised, and unsupervised learning methods to studying the phase transitions an…
View article: Dynamical heterogeneity and universality of power-grids
Dynamical heterogeneity and universality of power-grids Open
While weak, tuned asymmetry can improve, strong heterogeneity destroys synchronization in the electric power system. We study the level of heterogeneity, by comparing large high voltage (HV) power-grids of Europe and North America. We prov…
View article: Revisiting and Modeling Power-Law Distributions in Empirical Outage Data of Power Systems
Revisiting and Modeling Power-Law Distributions in Empirical Outage Data of Power Systems Open
The size distributions of planned and forced outages and their restoration times in power systems have been studied for almost two decades and have drawn great interest as they display heavy tails. Understanding heavy tails has been provid…
View article: Chimera states in neural networks and power systems
Chimera states in neural networks and power systems Open
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: $d_s < 4$. We provide numerical evidence that this really happens in case o…
View article: Raw data for the article 'Revisiting power-law distributions in empirical outage data of power systems'
Raw data for the article 'Revisiting power-law distributions in empirical outage data of power systems' Open
Raw data for the article 'Revisiting power-law distributions in empirical outage data of power systems' (see the manuscript preprint https://arxiv.org/abs/2303.12714 for more details).
View article: Raw data for the article 'Revisiting power-law distributions in empirical outage data of power systems'
Raw data for the article 'Revisiting power-law distributions in empirical outage data of power systems' Open
Raw data for the article 'Revisiting power-law distributions in empirical outage data of power systems' (see the manuscript preprint https://arxiv.org/abs/2303.12714 for more details).
View article: Raw data for the article 'Revisiting power-law distributions in empirical outage data of power systems'
Raw data for the article 'Revisiting power-law distributions in empirical outage data of power systems' Open
Raw data for the article 'Revisiting power-law distributions in empirical outage data of power systems' (see the manuscript preprint https://arxiv.org/abs/2303.12714 for more details).
View article: Revisiting and modeling power-law distributions in empirical outage data of power systems
Revisiting and modeling power-law distributions in empirical outage data of power systems Open
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 display heavy tails. Understanding of this phenomenon has be…
View article: Synchronization transitions on connectome graphs with external force
Synchronization transitions on connectome graphs with external force Open
We investigate the synchronization transition of the Shinomoto-Kuramoto model on networks of the fruit-fly and two large human connectomes. This model contains a force term, thus is capable of describing critical behavior in the presence o…
View article: Synchronization Transition of the Second-Order Kuramoto Model on Lattices
Synchronization Transition of the Second-Order Kuramoto Model on Lattices Open
The second-order Kuramoto equation describes the synchronization of coupled oscillators with inertia, which occur, for example, in power grids. On the contrary to the first-order Kuramoto equation, its synchronization transition behavior i…
View article: Synchronization transitions on connectome graphs with external force
Synchronization transitions on connectome graphs with external force Open
We investigate the synchronization transition of the Shinomoto-Kuramoto model on networks of the fruit-fly and two large human connectomes. This model contains a force term, thus is capable of describing critical behavior in the presence o…
View article: Synchronization transition of the second-order Kuramoto model on lattices
Synchronization transition of the second-order Kuramoto model on lattices Open
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 equation it's synchronization transition behavior is much less k…
View article: Synchronization dynamics on power grids in Europe and the United States
Synchronization dynamics on power grids in Europe and the United States Open
Dynamical simulation of the cascade failures on the Europe and United States (U.S.) high-voltage power grids has been done via solving the second-order Kuramoto equation. We show that synchronization transition happens by increasing the gl…
View article: Critical behavior of the diffusive susceptible-infected-recovered model
Critical behavior of the diffusive susceptible-infected-recovered model Open
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 and scaling analyses for the diffusive variant on the two-di…
View article: Dysfunctional gene splicing in glucose metabolism may contribute to Alzheimer's disease
Dysfunctional gene splicing in glucose metabolism may contribute to Alzheimer's disease Open
The glucose metabolism is crucial for sustained brain activity as it provides energy and is a carbon source for multiple biomacromolecules; glucose metabolism decreases dramatically in Alzheimer's disease (AD) and may be a fundamental caus…
View article: Transfer learning of phase transitions in percolation and directed percolation
Transfer learning of phase transitions in percolation and directed percolation Open
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 network (DANN) based on transfer learning to studying none…
View article: Synchronization dynamics on the EU and US power grids
Synchronization dynamics on the EU and US power grids Open
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 transition happens by increasing the global coupling paramet…
View article: Requirements for the containment of COVID-19 disease outbreaks through periodic testing, isolation, and quarantine
Requirements for the containment of COVID-19 disease outbreaks through periodic testing, isolation, and quarantine Open
We employ individual-based Monte Carlo computer simulations of a stochastic SEIR model variant on a two-dimensional Newman–Watts small-world network to investigate the control of epidemic outbreaks through periodic testing and isolation of…
View article: Machine learning of pair-contact process with diffusion
Machine learning of pair-contact process with diffusion Open
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. Unlike the PCP, whose nature of phase transition is clearly…
View article: Supervised and unsupervised learning of directed percolation
Supervised and unsupervised learning of directed percolation Open
Machine learning (ML) has been well applied to studying equilibrium phase transition models by accurately predicating critical thresholds and some critical exponents. Difficulty will be raised, however, for integrating ML into nonequilibri…
View article: Requirements for the containment of COVID-19 disease outbreaks through periodic testing, isolation, and quarantine
Requirements for the containment of COVID-19 disease outbreaks through periodic testing, isolation, and quarantine Open
We employ individual-based Monte Carlo computer simulations of a stochastic SEIR model variant on a two-dimensional Newman–Watts small-world network to investigate the control of epidemic outbreaks through periodic testing and isolation of…
View article: Coupled two-species model for the pair contact process with diffusion
Coupled two-species model for the pair contact process with diffusion Open
The contact process with diffusion (PCPD) defined by the binary reactions B+B→B+B+B, B+B→∅ and diffusive particle spreading exhibits an unusual active to absorbing phase transition whose universality class has long been disputed. Multiple …