Numerical Methods for Polymeric Systems

Name: Numerical Methods for Polymeric Systems
Brand: Springer-Verlag New York Inc.
SKU: 9780387985572
Price: 277.44 RON
Availability: InStock

Autor: Stuart G. Whittington

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Legare: Copertă tare

Editura: Springer-Verlag New York Inc.

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277.44 lei

Polymers occur in many different states and their physical properties are strongly correlated with t...

Informații despre carte

Autor

Stuart G. Whittington

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

1998

Pagini

223

EAN

9780387985572

ISBN

0387985573

Enbook ID

01385533

Editura

Springer-Verlag New York Inc.

Greutate

1140

Dimensiuni

155 x 235 x 19

Descriere completă

Polymers occur in many different states and their physical properties are strongly correlated with their conformations. The theoretical investigation of the conformational properties of polymers is a difficult task and numerical methods play an important role in this field. This book contains contributions from a workshop on numerical methods for polymeric systems, held at the IMA in May 1996, which brought together chemists, physicists, mathematicians, computer scientists and statisticians with a common interest in numerical methods. The two major approaches used in the field are molecular dynamics and Monte Carlo methods, and the book includes reviews of both approaches as well as applications to particular polymeric systems. The molecular dynamics approach solves the Newtonian equations of motion of the polymer, giving direct information about the polymer dynamics as well as about static properties. The Monte Carlo approaches discussed in this book all involve sampling along a Markov chain defined on the configuration space of the system. An important feature of the book is the treatment of Monte Carlo methods, including umbrella sampling and multiple Markov chain methods, which are useful for strongly interacting systems such as polymers at low temperatures and in compact phases. The book is of interest to workers in polymer statistical mechanics and also to a wider audience interested in numerical methods and their application in polymeric systems.

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