Eviatar Bach,Dan Crisan,Michael Ghil
Eviatar Bach
There is a history of simple forecast error growth models designed to capture the key properties of error growth in operational numerical weather prediction (NWP) models. We propose here such a scalar model that relies on the previous ones ...
Wavelet-based coarse graining for percolation criticality from a single system size [0.03%]
基于小波的粗粒化方法在单一系统规模下研究渗流临界性
Soo Min Oh,Brani Vidakovic
Soo Min Oh
Scaling analysis is a fundamental tool for estimating critical points and exponents of phase transitions in complex systems, typically relying on numerical simulations at multiple system sizes or scales. However, real-world systems often ex...
Sidney T da Silva,Letícia C Milani,Enrique C Gabrick et al.
Sidney T da Silva et al.
Rainfall forecasting through machine learning can play a crucial role in several areas, such as agriculture, energy, infrastructure, and public safety. The machine learning models have the ability to anticipate climate patterns and extreme ...
Multi-games with voluntary participation on a dynamic network and the evolution of cooperation [0.03%]
具有自愿参与的动态网络上的多游戏与合作进化
Yijie Huang
Yijie Huang
Research indicates that introducing loner strategy into a population can spontaneously generate a cyclic dominance mechanism, with the loner strategy playing a pivotal role in the coevolution of cooperative behavior. However, existing multi...
Gadi Fibich,Tomer Levin,Steven Schochet
Gadi Fibich
We derive the funnel theorems for the Bass and susceptible-infected models on networks that describe the spreading of innovations and epidemics. Let j be a node and divide the remaining nodes into L≥2 disjoint sets {Al}l=1L. The funnel the...
Instabilities and the emergence of self-organization in active matter: General considerations and an example [0.03%]
主动物质中的不稳定性与自组织的出现：一般考虑和一个例子
Daniel Escaff
Daniel Escaff
In nature, active particles can exhibit surprisingly complex self-coordinated movements. According to self-organization theory, the instability of the asynchronous state may induce these collective motions. Here, we present a general framew...
Studying the statistical properties of chaotic semiconductor lasers by machine learning [0.03%]
基于机器学习的混沌半导体激光统计性质研究
Zhen-Yu Zhao,Bo Yang,Yiying Gu et al.
Zhen-Yu Zhao et al.
The statistical properties associated with chaotic semiconductor lasers have been widely investigated for different applications. Traditional methods usually rely on characterizing the statistics from direct measurement of a temporal emissi...
Rate-induced phenomena in dynamical systems with attracting limit cycles [0.03%]
具有吸引极限环的动力系统的速率诱发现象
George Chappelle,Martin Rasmussen
George Chappelle
We study the behavior of dynamical systems under a time-dependent change of an external parameter. We are interested in phenomena induced by the parameter changing sufficiently quickly, and we refer to these as rate-induced phenomena. We in...
Short-term plasticity promotes synchronization of coupled chaotic oscillators in excitatory-inhibitory networks [0.03%]
短期可塑性促进兴奋性-抑制性网络中耦合混沌振荡器的同步
Kun Shan,Changhai Tian,Zhigang Zheng et al.
Kun Shan et al.
Experimental and theoretical studies provided evidence that coordinated actions of excitation and inhibition (EI) are balanced by combinations of synaptic weights and synaptic plasticity. Nevertheless, whether the dynamic nature of individu...
Dynamical equivalence between resonant translocation of a polymer chain and diversity-induced resonance [0.03%]
共聚物链谐振传输和多样性诱导共振的动态等价性
Marco Patriarca,Stefano Scialla,Els Heinsalu et al.
Marco Patriarca et al.
Networks of heterogeneous oscillators are often seen to display collective synchronized oscillations, even when single elements of the network do not oscillate in isolation. It has been found that it is the diversity of the individual eleme...