Pattern formation outside of equilibrium
Abstract
A comprehensive review of spatiotemporal pattern formation in systems driven away from equilibrium is presented, with emphasis on comparisons between theory and quantitative experiments. Examples include patterns in hydrodynamic systems such as thermal convection in pure fluids and binary mixtures, Taylor-Couette flow, parametric-wave instabilities, as well as patterns in solidification fronts, nonlinear optics, oscillatory chemical reactions and excitable biological media. The theoretical starting point is usually a set of deterministic equations of motion, typically in the form of nonlinear partial differential equations. These are sometimes supplemented by stochastic terms representing thermal or instrumental noise, but for macroscopic systems and carefully designed experiments the stochastic forces are often negligible. An aim of theory is to describe solutions of the deterministic equations that are likely to be reached starting from typical initial conditions and to persist at long times. A unified description is developed, based on the linear instabilities of a homogeneous state, which leads naturally to a classification of patterns in terms of the characteristic wave vector ${q}_{0}$ and frequency ${\ensuremath{\omega}}_{0}$ of the instability. Type ${\mathrm{I}}_{\mathrm{s}}$ systems (${\ensuremath{\omega}}_{0}=0$, ${q}_{0}\ensuremath{\ne}0$) are stationary in time and periodic in space; type ${\mathrm{III}}_{\mathrm{o}}$ systems (${\ensuremath{\omega}}_{0}\ensuremat…
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In nonlinear dynamics, very similar equations are called complex Ginzburg-Landau equations.
“The very similar equations that are considered in the context of nonlinear dynamics typically go under the name of complex Ginzburg-Landau equations [76,77].”
From How to exploit driving and dissipation to stabilize and manipulate quantum many-body states (2025) · cites this paper as [76]
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How to exploit driving and dissipation to stabilize and manipulate quantum many-body states
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“…models and algorithms that describe physical phenomena [9, 74, 35, 77, 32], chemical reactions [22, 23, 87] We also include several research problems that are built upon or reproduce methods used in Nobel Prize-winning studies to highlight current trends in scientific research: the…”
- Authors
- Cross, M. C., & Hohenberg, P. C.
- Affiliations
- California Institute of Technology (US)
- ORCID
- Cross, M. C.
- Venue
- Reviews of Modern Physics
- Publisher
- American Physical Society (APS)
- Published
- 1993-07-01
- Volume
- 65
- Issue
- 3
- Pages
- 851-1112
- ISSN
- 0034-6861 (ISSN-L)
- 1539-0756
- OpenAlex
- W2086126894
- Cited by
- 7,859
- References
- 1
- Citations by year
- 2026: 218 · 2025: 255 · 2024: 201 · 2023: 220 · 2022: 254 · 2021: 264 · 2020: 272 · 2019: 295 · 2018: 205 · 2017: 220 · 2016: 236 · 2015: 257 · 2014: 239 · 2013: 265 · 2012: 202
- FWCI
- 281.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Reviews of Modern Physics (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Nonlinear Dynamics and Pattern Formation
- Physical Sciences › Engineering › Computational Mechanics › Fluid Dynamics and Turbulent Flows
- Physical Sciences › Environmental Science › Global and Planetary Change › Ecosystem dynamics and resilience
- Keywords
- spatiotemporal pattern formation, nonequilibrium systems, hydrodynamic instability, thermal convection, binary mixtures, Taylor-Couette flow, solidification front, nonlinear optics, chemical oscillations, excitable media, amplitude equations, phase equation, linear stability analysis, defects, pattern selection, stochastic noise
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