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Statistical Thermodynamics and Stochastic Kinetics
An Introduction for Engineers

$98.00 (P)

  • Date Published: January 2012
  • availability: Available
  • format: Hardback
  • isbn: 9780521765619

$ 98.00 (P)

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About the Authors
  • Presenting the key principles of thermodynamics from a microscopic point of view, this book provides engineers with the knowledge they need to apply thermodynamics and solve engineering challenges at the molecular level. It clearly explains the concepts of entropy and free energy, emphasizing key ideas used in equilibrium applications, whilst stochastic processes, such as stochastic reaction kinetics, are also covered. It provides a classical microscopic interpretation of thermodynamic properties, which is key for engineers, rather than focusing on more esoteric concepts of statistical mechanics and quantum mechanics. Coverage of molecular dynamics and Monte Carlo simulations as natural extensions of the theoretical treatment of statistical thermodynamics is also included, teaching readers how to use computer simulations and thus enabling them to understand and engineer the microcosm. Featuring many worked examples and over 100 end-of-chapter exercises, it is ideal for use in the classroom as well as for self-study.

    • Provides engineers with the knowledge they need to apply thermodynamics and solve engineering challenges
    • Covers entropy and free energy, focusing on key concepts used in applications
    • Includes many worked examples and over 100 end-of-chapter exercises
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    Reviews & endorsements

    "Incorporating many worked examples and more than 100 end-of-chapter exercises, the book should be valuable for classroom learning as well as for self-study" - Chemical Engineering Progress, April 2012

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    Product details

    • Date Published: January 2012
    • format: Hardback
    • isbn: 9780521765619
    • length: 328 pages
    • dimensions: 235 x 160 x 20 mm
    • weight: 0.64kg
    • contains: 79 b/w illus. 6 tables 106 exercises
    • availability: Available
  • Table of Contents

    1. Introduction
    2. Elements of probability and combinatorial theory
    3. From classical to quantum mechanics, and back
    4. Ensemble theory
    5. Canonical ensemble
    6. Fluctuations and other ensembles
    7. Molecules
    8. Non-ideal gases
    9. Liquids and crystals
    10. Beyond pure, single-component systems
    11. Polymers – Brownian dynamics
    12. Non-equilibrium thermodynamics
    13. Stochastic processes
    14. Molecular simulations
    15. Monte Carlo simulations
    16. Molecular dynamics simulations
    17. Analyzing simulation results
    18. Simulations of stochastic reaction kinetics.

  • Resources for

    Statistical Thermodynamics and Stochastic Kinetics

    Yiannis N. Kaznessis

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  • Author

    Yiannis N. Kaznessis, University of Minnesota
    Yiannis N. Kaznessis is a Professor in the Department of Engineering and Materials Science at the University of Minnesota, where he has taught statistical thermodynamics since 2001. He has received several awards and recognitions including the Fulbright Award, the US National Science Foundation CAREER Award, the 3M non-Tenured Faculty Award, the IBM Young Faculty Award, the AIChE Computers and Systems Technology Division Outstanding Young Researcher Award and the University of Minnesota College of Science and Engineering Charles Bowers Faculty Teaching Award.

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