Max Potratzki,Timo Bröhl,Thorsten Rings et al.
Max Potratzki et al.
We investigate topological and spectral properties of models of European and US-American power grids and of paradigmatic network models as well as their implications for the synchronization dynamics of phase oscillators with heterogeneous n...
How representative are air transport functional complex networks? A quantitative validation [0.03%]
航空运输功能复杂网络的代表性如何？定量验证
Kishor Acharya,Felipe Olivares,Massimiliano Zanin
Kishor Acharya
Functional networks have emerged as powerful instruments to characterize the propagation of information in complex systems, with applications ranging from neuroscience to climate and air transport. In spite of their success, reliable method...
Robustness of the emergence of synchronized clusters in branching hierarchical systems under parametric noise [0.03%]
分形分支层次系统在参数噪声下的聚类同步的鲁棒性研究
Anupama Roy,Sudeshna Sinha,Neelima Gupte
Anupama Roy
The dynamical robustness of networks in the presence of noise is of utmost fundamental and applied interest. In this work, we explore the effect of parametric noise on the emergence of synchronized clusters in diffusively coupled Chaté-Man...
Characteristics of coexisting attractors and ghost orbiting in an optomechanical microresonator [0.03%]
光机械微谐振器中共存吸引子和幽灵轨道的特点研究
D M Chapman,E K T Burton,J R Hall et al.
D M Chapman et al.
We explore the nonlinear interactions of an optomechanical microresonator driven by two external optical signals. Optical whispering-gallery waves are coupled to acoustic surface waves of a fused silica medium in the equatorial plane of a g...
Complete synchronization of three-layer Rulkov neuron network coupled by electrical and chemical synapses [0.03%]
电化学耦合三层鲁尔科夫神经元网络的完全同步
Penghe Ge,Libo Cheng,Hongjun Cao
Penghe Ge
This paper analyzes the complete synchronization of a three-layer Rulkov neuron network model connected by electrical synapses in the same layers and chemical synapses between adjacent layers. The outer coupling matrix of the network is not...
Quantum information scrambling in two-dimensional Bose-Hubbard lattices [0.03%]
二维玻色-哈伯德晶格中的量子信息搅动现象
Devjyoti Tripathy,Akram Touil,Bartłomiej Gardas et al.
Devjyoti Tripathy et al.
It is a well-understood fact that the transport of excitations throughout a lattice is intimately governed by the underlying structures. Hence, it is only natural to recognize that the dispersion of information also has to depend on the lat...
Rogue wave pattern of multi-component derivative nonlinear Schrödinger equations [0.03%]
多分量导数非线性薛定谔方程的 rogue波模式
Huian Lin,Liming Ling
Huian Lin
This paper studies the multi-component derivative nonlinear Schrödinger (n-DNLS) equations featuring nonzero boundary conditions. Employing the Darboux transformation method, we derive higher-order vector rogue wave solutions for the n-DNL...
PT-symmetric PINN for integrable nonlocal equations: Forward and inverse problems [0.03%]
PT对称的PINN在可积非局部方程中的应用：正问题和逆问题
Wei-Qi Peng,Yong Chen
Wei-Qi Peng
Since the PT-symmetric nonlocal equations contain the physical information of the PT-symmetric, it is very appropriate to embed the physical information of the PT-symmetric into the loss function of PINN, named PTS-PINN. For general PT-symm...
Attractor reconstruction with reservoir computers: The effect of the reservoir's conditional Lyapunov exponents on faithful attractor reconstruction [0.03%]
含条件lyapunov指数的水库计算机中的吸引子重建效应：忠实于吸引子的重构
Joseph D Hart
Joseph D Hart
Reservoir computing is a machine learning framework that has been shown to be able to replicate the chaotic attractor, including the fractal dimension and the entire Lyapunov spectrum, of the dynamical system on which it is trained. We quan...
Ethan Speakman,Gemunu H Gunaratne
Ethan Speakman
Two well-known facets in protein synthesis in eukaryotic cells are transcription of DNA to pre-RNA in the nucleus and the translation of messenger-RNA (mRNA) to proteins in the cytoplasm. A critical intermediate step is the removal of segme...