Title: Nonlinear Dynamics and Pattern Formation in Semiconductors and Devices: Proceedings of a Symposium Organized Along with the International Conference . 4?7, 1994 (Springer Proceedings in Physics)
Publisher: Springer
Publication Date: 2011
Language: English
ISBN 10: 3642795080
ISBN 13: 9783642795084
Binding: Soft cover
Condition: New

About this title

Synopsis

In Nonlinear Dynamics and Pattern Formation in Semiconductors and Devices the contributions of the International Conference on Nonlinear Dynamics and Pattern Formation in the Natural Environment (ICPF '94) in Noordwijkerhout, held by many internationally reknown experts, are compiled. To connect the field of semiconductor physics with the theory of nonequilibrium dissipative systems, the emphasis lies on the study of localized structures, their stability and bifurcation behaviour. A point of special interest is the evolution of dynamic structures and the investigation of more complex structures arising from interactions between these structures. Possible applications of nonlinear effects and self-organization phenomena with respect to signal processing are discussed.

From the Back Cover

Nonlinear Dynamics and Pattern Formation in Semiconductors and Devices is concerned with fundamental processes of self-organization and electrical instabilities to show the correlations between them. Leading experts give a survey of recent experimental observations concerning the spatiotemporal behaviour of dissipative structures in various semiconductor and present theoretical approches to problems of self-organization and the basic concepts of dynamical structures. To connect the field of semiconductor physics with the theory of nonequilibrium dissipative systems, the emphasis lies on the study of localized structures, their stability and bifurcation behaviour. A point of special interest is the evolution of dynamic structures and the investigation of more complex structures arising from interactions between these structures. Beyond that, possible applications of nonlinear effects and self-organization phenomena with respect to signal processing, sensors, and neural networks are discussed.

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