Numerical Methods for Polymeric Systems (eBook, PDF)

Redaktion: Whittington, Stuart G.

• Format: PDF

Produktbeschreibung

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. The two major approaches used in the field are molecular dynamics and Monte Carlo methods, and the book includes reviews of both as well as applications to particular polymeric systems. It will be 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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Produktdetails

• Verlag: Springer US
• Seitenzahl: 223
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461217046
• Artikelnr.: 44179200

Inhaltsangabe

Convergence rates for Monte Carlo experiments.- Umbrella sampling and simulated tempering.- Monte Carlo study of polymer systems by multiple Markov chain method.- Measuring forces in lattice polymer simulations.- A knot recognition algorithm.- Geometrical entanglement in lattice models of ring polymers: Torsion and writhe.- Oriented self-avoiding walks with orientation-dependent interactions.- A Monte Carlo algorithm for studying the collapse transition in lattice animals.- Monte Carlo simulation of the O-point in lattice trees.- Molecular dynamics simulations of polymer systems.- Dynamics of polymers near the theta point.- Self diffusion coefficients and atomic mean-squared displacements in entangled hard chain fluids.