Self-Organization in Electrochemical Systems II Spatiotemporal Patterns and Control of Chaos /

This is the second of two volumes offering the very first comprehensive treatise of self-organization  and non-linear dynamics in electrochemical systems. The first volume covers general principles of self-organization as well as temporal instabilities. The  content of both volumes is  organized  so...

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Κύριος συγγραφέας: Orlik, Marek (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Σειρά:Monographs in Electrochemistry,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Self-Organization in Electrochemical Systems II  |h [electronic resource] :  |b Spatiotemporal Patterns and Control of Chaos /  |c by Marek Orlik. 
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490 1 |a Monographs in Electrochemistry,  |x 1865-1836 
505 0 |a Theoretical background of spatial and spatiotemporal patterns in dynamical systems -- Experimental and model spatiotemporal patterns in electrochemical systems -- Cooperative dynamics of coupled and forced oscillators -- Spatial and spatiotemporal patterns in anodized semiconductors -- Convection as a source of self-organization in electrochemical systems -- Liquid membrane and other membrane oscillators -- Control of electrochemical chaos and unstable steady-states. 
520 |a This is the second of two volumes offering the very first comprehensive treatise of self-organization  and non-linear dynamics in electrochemical systems. The first volume covers general principles of self-organization as well as temporal instabilities. The  content of both volumes is  organized  so  that each description  of a particular electrochemical  system  is  preceded  by  an  introduction  to basic concepts of nonlinear dynamics, in order to help the reader unfamiliar with  this  discipline to understand at least fundamental concepts and  the methods of stability analysis. The presentation of the systems is not  limited  to  laboratory  models but stretches out to real-life objects  and  processes,  including  systems  of biological importance,  such as neurons  in  living  matter. Marek Orlik  presents  a  comprehensive and consistent survey of the field. 
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