Energy of quasi-zero stiffness energy harvester under strange non-chaotic attractor [0.03%]
怪异非混沌吸振器准零刚度能量采集器的能量收集性能
Prakash Duraisamy,Dianavinnarasi Joseph,Suresh Kumarasamy et al.
Prakash Duraisamy et al.
This study investigates the Quasi-Zero Stiffness Energy Harvester (QZEH), a nonlinear, multi-stable system designed for enhanced energy extraction from vibrating mechanical devices. Nonlinear harvesters, like QZEH and bistable systems, oper...
Effects of symmetric and asymmetric habitat loss on species coexistence in cyclic competition [0.03%]
对称与非对称生境损失对周期竞争物种共存的影响
Hui Dai,Xiaoyue Wang,Xiaowen Dai et al.
Hui Dai et al.
Habitat loss is a critical driver of biodiversity decline; yet, its impact on species coexistence remains complex. We systematically investigated the effects of symmetric and asymmetric habitat loss on both well-mixed and structured populat...
Paul Glendinning
Paul Glendinning
The parameter dependence of the rotation number in families of circle maps, which are perturbations of rational rotations, is described. We show that if, at a critical parameter value, the map is a (rigid) rotation x→x+pq(mod1) with p and ...
Energy-induced chimera-like states in bilayer memristive FitzHugh-Nagumo neural networks [0.03%]
能量诱导的双层忆阻FitzHugh-Nagumo神经网络中的类涡旋态现象研究
Ying Xie,Xuening Li,Xueqin Wang et al.
Ying Xie et al.
Despite extensive efforts to analyze synchronization and chimera states, it is limited to understand their emergence from an energy-based perspective in multilayer network synchronization. In this study, the bilayer FitzHugh-Nagumo neural n...
Approximations of the cumulative distribution function using transport maps learning [0.03%]
基于传输地图学习的累积分布函数逼近算法研究
Dawen Wu,Ludovic Chamoin
Dawen Wu
This paper considers approximating the cumulative distribution function (CDF). For many important probability distributions, such as the normal distribution, their CDFs lack closed-form expressions representable by elementary functions. Alt...
Collapse of multi-headed chimera states in biologically based neuronal networks [0.03%]
基于生物神经网络中多头部奇马状态的崩溃
Lucas E Bentivoglio,Diogo L M Souza,Enrique C Gabrick et al.
Lucas E Bentivoglio et al.
Chimera states are spatiotemporal patterns with coherent and incoherent dynamics coexisting. These patterns are believed to be involved in important neurophysiological phenomena, such as unihemispheric sleep, multitasking, and epileptic sei...
Charlotte Geier,Rasha Shanaz,Merten Stender
Charlotte Geier
Accurate prediction of complex and nonlinear time series remains a challenging problem across engineering and scientific disciplines. Reservoir computing (RC) offers a computationally efficient alternative to traditional deep learning by tr...
A Mexican hat dance: Clustering in spatially non-exclusive particle systems [0.03%]
一顶墨西哥草帽式的舞蹈——空间非排斥型粒子系统中的凝聚现象
D Sabin-Miller,D M Abrams
D Sabin-Miller
The dynamics and spontaneous organization of coupled particles is a classic problem in modeling and applied mathematics. Here, we examine the behavior of particles coupled by a Mexican hat type potential-one exhibiting finite local repulsio...
Numerical methods for time-fractional subdiffusion equations: Convolution quadrature with block generalized Adams methods [0.03%]
时间分数阶子扩散方程的数值方法：卷积求积与块广义阿达姆斯法
Ling Liu,Jinrong Wang
Ling Liu
This paper studies a class of time-fractional subdiffusion equations. The temporal approximation is achieved using convolution quadrature, developed via the block generalized Adams method. By incorporating a correction term, we derive the c...
Incorporating coupling knowledge into echo state networks for learning spatiotemporally chaotic dynamics [0.03%]
基于回声状态网络的耦合知识在时空混沌动力学学习中的应用研究
Kuei-Jan Chu,Nozomi Akashi,Akihiro Yamamoto
Kuei-Jan Chu
Machine learning methods have shown promise in learning chaotic dynamical systems, enabling model-free short-term prediction and attractor reconstruction. However, when applied to large-scale, spatiotemporally chaotic systems, purely data-d...