Springer Self-Organization in Electrochemical Systems I: General Principles of Self-organization. Temporal Instabilities (Monographs in Electrochemistry)

This is the first of two volumes offering the very first comprehensive treatise of self-organization  and non-linear dynamics in electrochemical systems. The second volume covers spatiotemporal patterns and the control of chaos.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. Review From the reviews:“No textbook has so far been specifically devoted to the topic of self-organization in electrochemical systems. Happily, Marek Orlik has now remedied this omission with a remarkable and compendious work entitled ‘Self-Organization in Electrochemical Systems’. … ‘Self-Organization in Electrochemical Systems’ is surely destined to become a standard work.  For the serious scholar, this book is a treasure that will be enjoyed for many years. The author, and the publishers, are to be congratulated on a fine piece of work.” (Stephen Fletcher, Journal of Solid State Electrochemistry, Vol. 17, 2013) From the Back Cover This is the first of two volumes offering the very first comprehensive treatise of self-organization  and non-linear dynamics in electrochemical systems. The second volume covers spatiotemporal patterns and the control of chaos. 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.