## Statistical Mechanics: Fundamentals and Modern ApplicationsA valuable learning tool for students and an indispensable resource for professional scientists and engineers Several outstanding features make this book a superior introduction to modern statistical mechanics: It is the only intermediate-level text offering comprehensive coverage of both basic statistical mechanics and modern topics such as molecular dynamic methods, renormalization theory, chaos, polymer chain folding, oscillating chemical reactions, and cellular automata. It is also the only text written at this level to address both equilibrium and nonequilibrium statistical mechanics. Finally, students and professionals alike will appreciate such aids to comprehension as detailed derivations for most equations, more than 100 chapter-end exercises, and 15 computer programs written in FORTRAN that illustrate many of the concepts covered in the text. Statistical Mechanics begins with a refresher course in the essentials of modern statistical mechanics which, on its own, can serve as a handy pocket guide to basic definitions and formulas. Part II is devoted to equilibrium statistical mechanics. Readers will find in-depth coverage of phase transitions, critical phenomena, liquids, molecular dynamics, Monte Carlo techniques, polymers, and more. Part III focuses on nonequilibrium statistical mechanics and progresses in a logical manner from near-equilibrium systems, for which linear responses can be used, to far-from-equilibrium systems requiring nonlinear differential equations. |

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applicable approach assume average barrier becomes behavior Brownian motion calculate called cell cellular automaton chaos Chapter chemical coefficient configuration consider constant continuous coordinates correlation coupling critical point defined density depends derivation determine dimension discussed distribution function effects energy ensemble equal equation equilibrium evaluated example exponents field Figure fixed point fluid force fractal frequency Gaussian given gives Hamiltonian initial integral interactions introduced known length limit linear magnetization mechanics method molecules obtained operator oscillations parameter particles period phase physical polymer position possible potential probability probability density problem properties quantum mechanics radial distribution function random reaction reduced region relation represents respectively result rules scaling shown in Figure side solution solved space statistical steps temperature theory thermodynamic transformation transition unit values variables vector zero