Non-Equilibrium Statistical Mechanics

by Jianshu Cao

This course discusses the principles and methods of non-equilibrium statistical mechanics. Basic topics covered are stochastic processes, regression and response theory, molecular hydrodynamics, and complex liquids. Selected applications, including fluctuation theorems, condensed phase reaction rate theory, electron transfer dynamics, enzymatic networks, photon counting statistics, single molecule kinetics, reaction-controlled diffusion, may also be discussed.

Description from LibreTexts.

Publisher
Massechusetts Institute of Technology
Subjects
Chemistry, Physical and Theoretical Chemistry Textbook Maps
Licence
CC BY-NC-SA 4.0, as LibreTexts states it. Non-commercial use only.
Who can read
Tweens profiles and older, judged from its title and subjects

Contents

LibreTexts writes equations in TeX, and here they show as TeX; the PDF has them typeset.

  1. Front Matter
  2. TitlePage
  3. InfoPage
  4. Table of Contents
  5. Licensing
  6. 1: Stochastic Processes and Brownian Motion
  7. 1.1: Markov Processes
  8. 1.2: Master Equations
  9. 1.3: Fokker-Planck Equations
  10. 1.4: The Langevin Equation
  11. 1.5: Appendix: Applications to Brownian Motion
  12. 2: Non-equilibrium Thermodynamics
  13. 2.1: Response, Relaxation, and Correlation
  14. 2.2: Onsager Regression Theory
  15. 2.3: Linear Response Theory and Causality
  16. 3: Hydrodynamics and Light Scattering
  17. 3.1: Light Scattering
  18. 3.2: Navier-Stokes Hydrodynamic Equations
  19. 3.3: Transport Coefficients
  20. 4: Time Correlation Functions
  21. 4.1: Short-time Behavior
  22. 4.2: Projection Operator Method
  23. 4.3: Viscoelastic Model
  24. 4.4: Long-time Tails and Mode-coupling Theory
  25. Back Matter
  26. Index
  27. Detailed Licensing