Statistics of Linear Polymers in Disordered Media

by Chakrabarti, Bikas K.

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Title Statements

Full title :Statistics of Linear Polymers in Disordered Media / edited by Bikas K. Chakrabarti.

Summary

With the mapping of the partition function graphs of the n-vector magnetic model in the n to 0 limit as the self-avoiding walks, the conformational statistics of linear polymers was clearly understood in early seventies. Various models of disordered solids, percolation model in particular, were also established by late seventies. Subsequently, investigations on the statistics of linear polymers or of self-avoiding walks in, say, porous medium or disordered lattices were started in early eighties. Inspite of the brilliant ideas forwarded and extensive studies made for the next two decades, the problem is not yet completely solved in its generality. This intriguing and important problem has remained since a topic of vigorous and active research.

Edition Statements

Publication Date:2005.

Publication Statements

Publisher(s):Elsevier
Place of Publication:Amsterdam
Language:eng
Publication Date:2005.

The Physical Object

Description:1 online resource (online resource (v, 360 s.)) : : illustrations

Edition Identifiers

oclc:ocn939258723
Dewey Decimal:530.413

Subjects

Marches aléatoires (Mathématiques) Marches autoévitantes (Mathématiques) Physique statistique Polymères -- Méthodes statistiques Polymères -- Modèles mathématiques Polymers -- Mathematical models Polymers -- Statistical methods Random walks (Mathematics) Self-avoiding walks (Mathematics) Statistical physics