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Informationen zum Autor STANLEY I. SANDLER is the H. B. du Pont Professor of Chemical Engineering at the University of Delaware as well as professor of chemistry and biochemistry. He is also the founding director of its Center for Molecular and Engineering Thermodynamics. In addition to this book, Sandler is the author of 235 research papers and a monograph, and is the editor of a book on thermodynamic modeling and five conference proceedings. He earned his B.Ch.E. degree in 1962 from the City College of New York, and his Ph.D. in chemical engineering from the University of Minnesota in 1966. Klappentext One of the goals of An Introduction to Applied Statistical Thermodynamics is to introduce readers to the fundamental ideas and engineering uses of statistical thermodynamics, and the equilibrium part of the statistical mechanics. This text emphasises on nano and bio technologies, molecular level descriptions and understandings offered by statistical mechanics. It provides an introduction to the simplest forms of Monte Carlo and molecular dynamics simulation (albeit only for simple spherical molecules) and user-friendly MATLAB programs for doing such simulations, and also some other calculations. The purpose of this text is to provide a readable introduction to statistical thermodynamics, show its utility and the way the results obtained lead to useful generalisations for practical application. The text also illustrates the difficulties that arise in the statistical thermodynamics of dense fluids as seen in the discussion of liquids. Zusammenfassung * Discusses the analysis of the virial equation of state * Shows how the exact composition dependence of the second virial coefficient derived from statistical thermodynamics has become the basis for mixing rules used with common equations of state. Inhaltsverzeichnis 1. Introduction to Statistical Thermodynamics. 1.1 Probabistic Description. 1.2 Macrostates and Microstates. 1.3 Quantum Mechanics Description of Microstates. 1.4 The Postulates of Statistical Mechanics. 1.5 The Boltzmann Energy Distribution. 2. The Canonical Partition Function. 2.1 Some Properties of the Canonical Partition Function. 2.2 Relationship of the Canonical Partition Function to Thermodynamic Properties. 2.3 Canonical Partition Function for a Molecule with Several Independent Energy Modes. 2.4 Canonical Partition Function for a Collection of Noninteracting Identical Atoms. Problems. 3. The Ideal Monatomic Gas. 3.1 Canonical Partition Function for the Ideal Monatomic Gas. 3.2 Identification of b as 1/ kT. 3.3 General Relationships of the Canonical Partition Function to Other Thermodynamic Quantities. 3.4 The Thermodynamic Properties of the Ideal Monatomic Gas. 3.5 Energy Fluctuations in the Canonical Ensemble. 3.6 The Gibbs Entropy Equation. 3.7 Translational State Degeneracy. 3.8 Distinguishability, Indistinguishability and the Gibbs' Paradox. 3.9 A Classical Mechanics - Quantum Mechanics Comparison: The Maxwell-Boltzmann Distribution of Velocities. Problems. 4. Ideal Polyatomic Gas. 4.1 The Partition Function for an Ideal Diatomic Gas. 4.2 The Thermodynamic Properties of the Ideal Diatomic Gas. 4.3 The Partition Function for an Ideal Polyatomic Gas. 4.4 The Thermodynamic Properties of an Ideal Polyatomic Gas. 4.5 The Heat Capacities of Ideal Gases. 4.6 Normal Mode Analysis: the Vibrations of a Linear Triatomic Molecule. Problems. 5. Chemical Reactions in Ideal Gases. 5.1 The Non-Reacting Ideal Gas Mixture. 5.2 Partition Function of a Reacting Ideal Chemical Mixture. 5.3 Three Different Derivations of the Chemical Equilibrium Constant in an Ideal Gas Mixture. 5.4 Fluctuations in...
