Lectures in Classical Thermodynamics with an Introduction to Statistical Mechanics

Dr. Daniel Blankschtein is the Herman P. Meissner '29 Professor of Chemical Engineering at the Massachusetts Institute of Technology (MIT). He received a Ph.D in Condensed Matter Physics in 1983 from Tel-Aviv University in Israel, and carried out postdoctoral studies in the Physics department at MIT before joining the Chemical Engineering faculty at MIT in 1986. He has published over 230 research articles in the general subjects of molecular-thermodynamic and statistical mechanics modeling of self-assembling surfactant systems, bioseparations using two-phase aqueous micellar and polymer systems, transdermal drug delivery using ultrasound and chemical enhancers, and modeling of wetting phenomena and liquid-phase exfoliation and stabilization of 2D nanomaterials using molecular dynamics (MD) simulations. He has received several awards, including a Presidential Young Investigator Award, the 1996 Ebert Prize from the American Pharmaceutical Association, the 2000 Dow Corning Award from the Controlled Release Society, the 2015 Capers and Marlon McDonald Award for Excellence in Mentoring and Advising, and nine Outstanding Faculty Awards for his teaching of graduate-level Thermodynamics.

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.-Lecture 20:Review for Part I.- .- Lecture 21:Extensive and Intensive Mixture Properties, Partial Molar Properties.- Lecture 22:Generalized Gibbs-Duhem Relations for Mixtures, Calculation of Partial Molar Properties.- Lecture 23:Mixture EOS, Mixture Departure Functions, Ideal-Gas Mixtures, Ideal Solutions.- Lecture 24:Mixing Functions, Excess Functions.- Lecture 25:Fugacity, Fugacity Coefficient.- Lecture 26:Activity, Activity Coefficient.- Lecture 27:Criteria of Phase Equilibria, Gibbs Phase Rule.- Lecture 28:Applications of the Gibbs Phase Rule, Azeotrope.- Lecture 29:Differential Approach to Phase Equilibria, Pressure-Temperature-Composition Relations, Clausius-Clapeyron Equation.- Lecture 30:Integral Approach to Phase Equilibria, Composition Models.- Lecture 31:Chemical Equilibria: Stoichiometric Formulation.- Lecture 32:Equilibrium Constants for Gas-Phase and Condensed-Phase Reactions.- Lecture 33:Response of Chemical Reactions to Temperature, Le Chatelier's Principle.- Lecture 34:Response of Chemical Reactions to Pressure, Applications.- Lecture 35:Gibbs Phase Rule for Chemically- Reacting Systems, Applications.- Lecture 36:Effect of Chemical Equilibrium on Thermodynamic Properties.- Lecture 37:Review for Part II.- Lecture 38:Quantum Statistical Mechanics, Canonical Ensemble, Probability and the Boltzmann Factor, Canonical Partition Function.- Lecture 39:Calculation of Thermodynamic Properties from the Canonical Partition Function, Treatment of Distinguishable and Indistinguishable Molecules.- Lecture 40:Translational, Vibrational, Rotational, and Electronic Partition Functions of Ideal Gases.- Lecture 41:Calculation of Thermodynamic Properties of Ideal Gases from the Partition Functions.- Lecture 42:Microcanonical Ensemble, Statistical Mechanical Definition and Interpretation of Entropy and Work.- Lecture 43:Statistical Mechanical Interpretation of the First, Second, and Third Laws of Thermodynamics.- .- Lecture 44:Grand Canonical Ensemble, Statistical Fluctuations.- Lecture 45:Classical Statistical Mechanics.- Lecture 46:Configurational Integral, Statistical Mechanical Derivation of the Virial Equation of State.- Lecture 47:Virial Coefficients in the Classical Limit, Statistical Mechanical Derivation of the van der Waals Equation of State.- Lecture 48:Statistical Mechanical Treatment of Chemical Equilibrium.- Lecture 49:Statistical Mechanical Treatment of Binary Mixtures.- Lecture 50:Review for Part III and Book Overview.