Simulating Physics with Coupled Map Lattices
Simulating Physics with Coupled Map Lattices
复制标题
用耦合地图格子模拟物理
DOI：
10.1142/9789814368223_0001
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发表时间：
1990
期刊：
影响因子：
--
通讯作者：
K. Kaneko
中科院分区：
文献类型：
--
作者：
K. Kaneko
包括以下部分：简介-为什么耦合映射格子？1维晶格中的图案动力学全局相变冻结随机图案图案的选择和混沌的抑制Z字形图案的选择和缺陷的混沌扩散时空不稳定性转变：缺陷湍流和模式竞争的不稳定性充分发展的不稳定性总结...二维晶格中的模式动力学棋盘模式选择，混沌弦，和时空相关性较大模式的选择缺乏冻结模式以实现更强的耦合和Piers论点的扩展开放流模型信息流热力学平均场型模型用耦合地图格子模拟科学模式形成（旋节分解）其他图案形成问题晶体生长可激发介质滴水扶手和沸腾混沌用CML设计流体动力学？神经网络约瑟夫森结，CDW，.和耦合圆格子其他应用时空混沌的实验观察鸣谢附录：时空混沌中的量词（按字母顺序）参考文献
The following sections are included:Introduction — Why Coupled Map Lattice?Pattern Dynamics in a 1-dimensional LatticeGlobal phase diagramFrozen random patternPattern selection and suppression of chaosSelection of zigzag pattern and chaotic diffusion of defectsSpatiotemporal intermittency transition: Defect turbulence and pattern competition intermittencyFully developed turbulenceSumming Up…Pattern Dynamics in a 2-dimensional LatticeCheckerboard pattern selection, chaotic string, and spatiotemporal intermittencySelection of larger patternsAbsence of a frozen pattern for stronger coupling and extension of Pierls' argumentOpen Flow ModelsInformation FlowThermodynamicsMean-field Type ModelSimulating Science with Coupled Map LatticesPattern formation (spinodal decomposition)Other pattern formation problemsCrystal growthExcitable mediaDripping handrail and boiling chaosDesigning fluid dynamics with CML?Neural networksJosephson junction, CDW, … and coupled circle latticeOther applicationsExperimental observation of spatiotemporal chaosAcknowledgementAppendix: Quantifiers in Spatiotemporal Chaos (in alphabetical order)References