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Statistical Physics of Macromolecules (Polymers and Complex Materials) - Hardcover

Khokhlov, Alexei R.; Grosberg, Alexander Yu; Pande, Vijay S.

 
9781563960710: Statistical Physics of Macromolecules (Polymers and Complex Materials)

Synopsis

Market: Specialists and graduate students in polymer physics, statistical physics, physical chemistry of polymers, materials science, molecular biophysics, and chemical engineering. This introductory volume presents in-depth descriptions of fundamental concepts as well as key industrial applications in polymer physical chemistry and molecular biophysics. Topics include statistical theories of polymer solutions, melts, polymer liquid crystals, polymer networks, and polyelectrolytes; statistics of ideal chains; the viscoelastic behavior of polymer systems; and various features of biopolymers, DNA, and proteins.

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Synopsis

This text presents an introduction to the field of statistical physics of macromolecules, from the basic concepts to modern achievements. Applications in various fields of polymer physical chemistry and molecular biophysics are also covered, as are: the fundamentals of statistical theory of polymer solutions and melts; classical, sealing and renormalization group approaches; the main ideas of statistical theories of polymer liquid crystals, polymer networks and polyelectrolytes; dynamic viscoelastic behavior of polymer systems; models of house, Zimm and reptation concepts; and specific features of main biopolymers - DNA and proteins. This English edition also includes sections describing the most important recent advances such as: statistical theory of DNA gel-electrophoresis, polymers at interfaces, and dynamics of concentrated solutions of rigid polymers. Graduate students and specialists in the fields of polymer physics, statistical physical chemistry of polymers, materials science, molecular biophysics and chemical engineering should find this book of use. It starts from the basic principles and assumes the reader has knowledge of undergraduate physics.

Knowledge of statistical physics is required only for some selected sections, which are explicitly indicated in the text.

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