Description

Book Synopsis

Presenting the principles of thermodynamics from a microscopic point of view, this book provides engineers with the knowledge they need to solve engineering challenges at the molecular level. 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.

Trade Review

"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

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.

Statistical Thermodynamics and Stochastic Kinetics

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    A Hardback by Yiannis N. Kaznessis

    £59.11

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    Order before 4pm on Monday for delivery by Fri 27 Nov 2026.

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      Book details

      Publisher Cambridge University Press
      Published 1 December 2011
      ISBN-13 9780521765619
      978-0521765619
      ISBN-10 0521765617
      Also in:
      Engineering thermodynamics Heat transfer processes Maths for engineers

      Description

      Book Synopsis

      Presenting the principles of thermodynamics from a microscopic point of view, this book provides engineers with the knowledge they need to solve engineering challenges at the molecular level. 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.

      Trade Review

      "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

      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.

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