Lecture 1:Book Overview.- Lecture 2:Basic Concepts and Definitions.- Lecture 3:First Law - Closed Systems: Derivation.- Lecture 4:First Law - Closed Systems: Derivation, Solution to Sample Problem 1.- Lecture 5:First Law - Closed Systems: Solution to Sample Problem 1, Continued.- Lecture 6:First Law - Open Systems: Derivation, Solution to Sample Problem 2.- Lecture 7:Second-Law Concepts.- Lecture 8:Heat Engine, Carnot Efficiency.- Lecture 9:Entropy, Reversibility.- Lecture 10:The Second Law of Thermodynamics, Maximum Work.- Lecture 11:The Combined First and Second Laws of Thermodynamics, Availability.- Lecture 12:Flow Work, Solution to Sample Problem 3.- Lecture 13:Fundamental Equations.- Lecture 14:Manipulation of Partial Derivatives.- Lecture 15:Gibbs Free Energy Formulation.- Lecture 16:Evaluation of Thermodynamic Data.- Lecture 17:Equation of State (EOS), Binodal, Spinodal, Critical Point.- Lecture 18:Principle of Corresponding States.- Lecture 19:Departure Functions.-
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An Introduction to Statistical Mechanics and Thermodynamics returns with a second edition includes new chapters, further explorations, and updated information into the study of statistical mechanics and thermal dynamics.
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Introduction to Statistical Mechanics is written for third-year university students in physics and engineering at The Norwegian University of Science and Technology. It is an introductory text to statistical mechanics that carefully develops new concepts...
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