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  3. Statistical Thermodynamics
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    • Publisher:
      Cambridge University Press
      Publication date:
      June 2012
      November 2005
      ISBN:
      9780511815928
      9780521846356
      9780521154192
      DOI:
      https://doi.org/10.1017/CBO9780511815928
      Dimensions:
      (253 x 177 mm)
      Weight & Pages:
      0.956kg, 466 Pages
      Dimensions:
      (253 x 215 mm)
      Weight & Pages:
      0.79kg, 466 Pages
      • Subjects:
      Engineering, Chemical Engineering, Thermal-Fluids Engineering
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    Subjects:
    Engineering, Chemical Engineering, Thermal-Fluids Engineering
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    Book description

    This 2006 textbook discusses the fundamentals and applications of statistical thermodynamics for beginning graduate students in the physical and engineering sciences. Building on the prototypical Maxwell–Boltzmann method and maintaining a step-by-step development of the subject, this book assumes the reader has no previous exposure to statistics, quantum mechanics or spectroscopy. The book begins with the essentials of statistical thermodynamics, pauses to recover needed knowledge from quantum mechanics and spectroscopy, and then moves on to applications involving ideal gases, the solid state and radiation. A full introduction to kinetic theory is provided, including its applications to transport phenomena and chemical kinetics. A highlight of the textbook is its discussion of modern applications, such as laser-based diagnostics. The book concludes with a thorough presentation of the ensemble method, featuring its use for real gases. Numerous examples and prompted homework problems enrich the text.

    Reviews

    ‘… presents a general and complete overview of statistical thermodynamics mainly for beginners or engineers, linking this science to quantum mechanics and to classical thermodynamics … Throughout the whole book, the author presents many figures which illustrate the concepts he introduces. He draws the computations with precise details and illustrates these computations with their physical background.‘

    Alain Brillard Source: Zentralblatt MATH

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    Contents

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    Contents

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    References

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