Layered patterns of active scalar fields in a two-dimensional magnetohydrodynamic system [0.03%]
二维磁流体系统中活性标量的层压图案
F R Ramirez,P H Diamond
F R Ramirez
We observe the formation of staircase patterns in the magnetic potential (A) in a weakly magnetized two-dimensional magnetohydrodynamic system driven by a forced, fluctuating vortex array. Layering occurs due to inhomogeneous mixing of A by...
Bacterial chemotaxis considering memory effects: Derivation of the reaction-diffusion equations [0.03%]
考虑记忆效应的细菌化学趋化性：反应扩散方程的推导
Manuel Mayo,Rodrigo Soto
Manuel Mayo
Bacterial chemotaxis for the case of Escherichia coli is controlled by methylation of chemoreceptors, which in a biochemical pathway regulates the concentration of the CheY-P protein that finally controls the tumbling rate. As a consequence...
Topological charge-weighted method of identifying the phase singularity at low spatial resolution [0.03%]
低空间分辨率下单极子相位奇点的拓扑电荷权重识别方法
Yin-Jie He,Qi-Hao Li,Jun-Ting Pan et al.
Yin-Jie He et al.
Spiral waves in cardiac tissue are believed to be closely related to cardiac diseases such as arrhythmias. Accurately identifying the phase singularity (PS, the tip of a spiral wave) is important in electrophysiological studies of cardiac a...
Complex bifurcation structures in a Hodgkin-Huxley model of thermally sensitive neurons under periodic perturbation [0.03%]
周期扰动下热敏神经元霍奇金-赫胥黎模型中的复杂分岔结构
Bruno R R Boaretto,Paulo R Protachevicz,Matheus Hansen et al.
Bruno R R Boaretto et al.
In this study, we identify an intricate class of periodic behavior, coined as "fishbone," within the chaotic dynamics induced by external periodic disturbances in a neuronal system. Alongside this structure, we observe well-known patterns s...
S Donkov,I Zh Stefanov,T V Veltchev et al.
S Donkov et al.
We set ourselves the goal of obtaining the equations which govern the evolution of the mass density profile of a dense irrotational molecular cloud. We base our study on the notion of "ensemble of molecular clouds", introduced in our previo...
Neural density functional theory in higher dimensions with convolutional layers [0.03%]
基于卷积层的高维神经密度泛函理论
Felix Glitsch,Jens Weimar,Martin Oettel
Felix Glitsch
Based on recent advancements in using machine learning for classical density functional theory for systems with one-dimensional, planar inhomogeneities, we propose a machine learning model for application in two dimensions (2D) akin to dens...
Exploring attractor reconstruction derived from encoder-decoder time series prediction [0.03%]
基于编码器-解码器时间序列预测的吸引子重构研究
Yifei Chen,Jing Wang,Youfang Lin
Yifei Chen
Reconstructing the state space is a generic and basic step for studying nonlinear dynamics with partial observables. Recently, time series forecasting through an encoder-decoder artificial neural network is expected to implicitly realize th...
Lorenzo Cirigliano,Claudio Castellano
Lorenzo Cirigliano
We consider neighbor-induced damage percolation, a model describing systems where the inactivation of some elements may damage their neighboring active ones, making them unusable. We present an exact solution for the size of the giant usabl...
Hua Yan
Hua Yan
The distribution of the consecutive level-spacing ratio is now widely used as a tool to distinguish integrable from chaotic quantum spectra, mostly due to its avoidance of the numerical spectral unfolding. Like the use of the Rosenzweig-Por...
Impact of electrostatic correlations on the frequency response of a graphene electrode in ionic liquid [0.03%]
静电关联对石墨烯电极在离子液体中频率响应的影响
Mahdi Yavarian,Roderick Melnik,Z L Mišković
Mahdi Yavarian
We investigate the frequency response of the graphene-based electrochemical systems containing room-temperature ionic liquids using the method of matched asymptotic expansion in the limit of thin double-layers to study the diffuse-charge dy...