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相关论文: Pattern formation (II): The Turing Instability

200 篇论文

In this work we suggest that a turbulent phase of the Rayleigh-Taylor instability can be explained as a universal stochastic wave traveling with constant speed in a properly renormalized system. This wave, originating from ordinary…

流体动力学 · 物理学 2017-05-16 Alexei A. Mailybaev

Reaction-diffusion (Turing) systems are fundamental to the formation of spatial patterns in nature and engineering. These systems are governed by a set of non-linear partial differential equations containing parameters that determine the…

机器学习 · 计算机科学 2022-11-28 Jordon Kho , Winston Koh , Jian Cheng Wong , Pao-Hsiung Chiu , Chin Chun Ooi

Formation of turbulence of capillary waves is studied in laboratory experiments. The spectra show multiple exponentially decreasing harmonics of the parametrically excited wave which nonlinearly broaden with the increase in forcing.…

流体动力学 · 物理学 2010-07-26 H. Xia , M. Shats , H. Punzmann

Reaction diffusion systems with Turing instability and mass conservation are studied. In such systems, abrupt decays of stripes follow quasi-stationary states in sequence. At steady state, the distance between stripes is much longer than…

斑图形成与孤子 · 物理学 2009-11-11 Shuji Ishihara , Mikiya Otsuji , Atsushi Mochizuki

A stochastic version of the Brusselator model is proposed and studied via the system size expansion. The mean-field equations are derived and shown to yield to organized Turing patterns within a specific parameters region. When determining…

统计力学 · 物理学 2015-05-14 Tommaso Biancalani , Duccio Fanelli , Francesca Di Patti

Although Turing pattern is one of the most universal mechanisms for pattern formation, in its standard model the number of stripes changes with the system size, since the wavelength of the pattern is invariant: It fails to preserve the…

细胞行为 · 定量生物学 2007-05-23 Shuji Ishihara , Kunihiko Kaneko

Using extensive particle-based simulations, we investigate out-of-equilibrium pattern dynamics in an oppositely driven binary particle system in two dimensions. A surprisingly rich dynamical behavior including lane formation, jamming,…

软凝聚态物质 · 物理学 2015-06-05 Masahiro Ikeda , Hirofumi Wada , Hisao Hayakawa

Spatial and temporal pattern formation in reaction-diffusion systems is typically studied with two or more equations, as scalar reaction-diffusion equations confined to convex domains do not admit stable inhomogeneous states in time or…

斑图形成与孤子 · 物理学 2026-05-07 N. Mahashri , Andrew L. Krause , M. Chandru , Thomas E. Woolley

A probability model exhibits instability if small changes in a data outcome result in large, and often unanticipated, changes in probability. This instability is a property of the probability model, given by a distributional form and a…

统计理论 · 数学 2019-11-18 Andee Kaplan , Daniel Nordman , Stephen Vardeman

Onset of the instability of a multiple-scattering speckle pattern in a random medium with Kerr nonlinearity is significantly affected by the noninstantaneous character of the nonlinear medium response. The fundamental time scale of the…

无序系统与神经网络 · 物理学 2009-11-10 S. E. Skipetrov

We investigate a specific reaction-diffusion system that admits a monostable pulled front propagating at constant critical speed. When a small parameter changes sign, the stable equilibrium behind the front destabilizes, due to essential…

偏微分方程分析 · 数学 2021-10-07 Louis Garénaux

In this paper the Turing pattern formation mechanism of a two component reaction-diffusion system modeling the Schnakenberg chemical reaction coupled to linear cross-diffusion terms is studied. The linear cross-diffusion terms favors the…

斑图形成与孤子 · 物理学 2017-05-08 G. Gambino , S. Lupo , M. Sammartino

The Turing patterning mechanism is believed to underly the formation of repetitive structures in development, such as zebrafish stripes and mammalian digits, but it has proved difficult to isolate the specific biochemical species…

分子网络 · 定量生物学 2018-03-22 Stephen Smith , Neil Dalchau

Turing's mechanism is often invoked to explain periodic patterns in nature, although direct experimental support is scarce. Turing patterns form in reaction-diffusion systems when the activating species diffuse much slower than the…

生物物理 · 物理学 2024-03-15 Lucas Menou , Chengjie Luo , David Zwicker

The linear stability of stratified two-phase flows in rectangular ducts is studied numerically. The linear stability analysis takes into account all possible infinitesimal three-dimensional disturbances and is carried out by solution of the…

流体动力学 · 物理学 2020-04-09 Alexander Gelfgat , Neima Brauner

Structure formation in turbulence is effectively an instability of "plasma" formed by fluctuations serving as particles. These "particles" are quantumlike; namely, their wavelengths are non-negligible compared to the sizes of background…

等离子体物理 · 物理学 2020-05-20 Vasileios Tsiolis , Yao Zhou , Ilya Y. Dodin

Biological, physical, medical, and numerical applications involving membrane problems on different scales are numerous. We propose an extension of the standard Turing theory to the case of two domains separated by a permeable membrane. To…

偏微分方程分析 · 数学 2022-03-04 Giorgia Ciavolella

Fully developed turbulence is a universal and scale-invariant chaotic state characterized by an energy cascade from large to small scales where the cascade is eventually arrested by dissipation. In this article, we show how to harness these…

软凝聚态物质 · 物理学 2024-04-09 Xander M. de Wit , Michel Fruchart , Tali Khain , Federico Toschi , Vincenzo Vitelli

Effect of external periodic force on an oscillatory order in a reaction diffusion system (Gierer Meinhardt model) has been investigated. The 2:1 resonance situation is found susceptible for the generation of a band of phase instabilities.…

斑图形成与孤子 · 物理学 2007-05-23 A. Bhattacharyay , J. K. Bhattacherjee

Nonlinear normal modes are periodic orbits that survive in nonlinear many-body Hamiltonian systems, and their instability is crucial for relaxation dynamics. Here, we study the instability process of the $\pi/3$-mode in the…

统计力学 · 物理学 2025-02-06 Weicheng Fu , Zhen Wang , Yong Zhang , Hong Zhao