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xxiii, 480 pages : illustrations ; 26 cm.
  • 1. Introduction-- 2. The postulates of thermodynamics-- 3. Generalized thermodynamic potentials-- 4. First applications of thermodynamics-- 5. Application to process design: flow systems-- 6. Statistical mechanics-- 7. Molecular interactions-- 8. Fugacity and vapor-liquid equilibrium-- 9. Activity, vapor-liquid, and liquid-liquid equilibrium-- 10. Reaction equilibrium-- 11. Thermodynamics of polymers-- 12. Thermodynamics of surfaces-- Appendix A. Mathematical background-- Appendix B. Fluid equations of state-- Appendix C. Microscopic balances for open systems-- Bibliography-- Index.
  • (source: Nielsen Book Data)9780521765626 20160617
Building up gradually from first principles, this unique introduction to modern thermodynamics integrates classical, statistical and molecular approaches and is especially designed to support students studying chemical and biochemical engineering. In addition to covering traditional problems in engineering thermodynamics in the context of biology and materials chemistry, students are also introduced to the thermodynamics of DNA, proteins, polymers and surfaces. It includes over 80 detailed worked examples, covering a broad range of scenarios such as fuel cell efficiency, DNA/protein binding, semiconductor manufacturing and polymer foaming, emphasizing the practical real-world applications of thermodynamic principles; more than 300 carefully tailored homework problems, designed to stretch and extend students' understanding of key topics, accompanied by an online solution manual for instructors; and all the necessary mathematical background, plus resources summarizing commonly used symbols, useful equations of state, microscopic balances for open systems, and links to useful online tools and datasets.
(source: Nielsen Book Data)9780521765626 20160617
Science Library (Li and Ma)
xiii, 274 p. : ill. ; 25 cm.
  • Thermodynamics, fundamentals-- conditions for equilibrium and stability-- statistical mechanics-- non-interacting (ideal) systems-- statistical mechanical theory of phase transitions-- Monte Carlo method in statistical mechanics-- classical fluids-- statistical mechanics of non-equilibrium systems.
  • (source: Nielsen Book Data)9780195042764 20160528
This is a forward-looking text suitable for use by advanced undergraduate or beginning graduate students of chemistry, biochemistry, chemical engineering and physics.
(source: Nielsen Book Data)9780195042764 20160528
This text developed from materials the author has used in a one-semester course on elementary statistical mechanics. It assumes readers have had courses in calculus and physical chemistry. Its purpose is not only to give students a deeper understanding of thermodynamics and the principles of equilibrium statistical mechanics, but also to introduce them to the modern topics of Monte Carlo sampling, renormalization group theory, and the fluctuation-dissipation theorem. By frequent use of simplified models, the author has kept the mathematics in the text relatively simple while presenting many of the sophisticated ideas in the field. His approach is to deal first with macroscopic thermodynamics, then with microscopic statistical principles. The Second Law of Thermodynamics appears as the direct consequence of the statistical assumption that microscopic equilibrium is the state of greatest randomness. The different ensembles and the role of fluctuations are treated before non-interacting ideal systems and phase transformations are discussed. The treatment of phase transitions relies on the Ising model, which is also used to explain the Monte Carlo method.The last two chapters deal with equilibrium statistical mechanics of classical fluids and with dynamics, that is, relaxation an molecular motion in macroscopic systems which are at or close to equilibrium. This is a forward-looking text suitable for use by advanced undergraduate or beginning graduate students of chemistry, biochemistry, chemical engineering and physics.
(source: Nielsen Book Data)9780195042771 20160528
Science Library (Li and Ma)