Statistical Mechanics: Theory and Molecular Simulation

Autor: Tuckerman, Mark (Professor of Chemistry and Mathematics, New York University and Courant Institute of Mathematical Sciences, New York)

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Editura: Oxford University Press

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Complex systems that bridge the traditional disciplines of physics, chemistry, biology, and material...

Informații despre carte

Autor

Tuckerman, Mark (Professor of Chemistry and Mathematics, New York University and Courant Institute of Mathematical Sciences, New York)

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2010

Pagini

720

EAN

9780198525264

ISBN

0198525265

Enbook ID

02536438

Editura

Oxford University Press

Greutate

1522

Dimensiuni

180 x 257 x 40

Descriere completă

Complex systems that bridge the traditional disciplines of physics, chemistry, biology, and materials science can be studied at an unprecedented level of detail using increasingly sophisticated theoretical methodology and high-speed computers. The aim of this book is to prepare burgeoning users and developers to become active participants in this exciting and rapidly advancing research area by uniting for the first time, in one monograph, the basic concepts of equilibrium and time-dependent statistical mechanics with the modern techniques used to solve the complex problems that arise in real-world applications. The book contains a detailed review of classical and quantum mechanics, in-depth discussions of the most commonly used ensembles simultaneously with modern computational techniques such as molecular dynamics and Monte Carlo, and important topics including free-energy calculations, linear-response theory, harmonic baths and the generalized Langevin equation, critical phenomena, and advanced conformational sampling methods. Burgeoning users and developers are thus provided firm grounding to become active participants in this exciting and rapidly advancing research area, while experienced practitioners will find the book to be a useful reference tool for the field.

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Statistical Mechanics: Theory and Molecular Simulation

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