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M. Scott Shell - Thermodynamics and Statistical Mechanics: An Integrated Approach (Cambridge Series in Chemical Engineering) - 9781107656789 - V9781107656789
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Thermodynamics and Statistical Mechanics: An Integrated Approach (Cambridge Series in Chemical Engineering)

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Description for Thermodynamics and Statistical Mechanics: An Integrated Approach (Cambridge Series in Chemical Engineering) Paperback. Learn classical thermodynamics alongside statistical mechanics and how macroscopic and microscopic ideas interweave with this fresh approach to the subjects. Series: Cambridge Series in Chemical Engineering. Num Pages: 498 pages, 96 b/w illus. 13 tables 438 exercises. BIC Classification: PHH; PHS; TDCB; TGMB. Category: (U) Tertiary Education (US: College). Dimension: 249 x 175 x 25. Weight in Grams: 986.
Learn classical thermodynamics alongside statistical mechanics with this fresh approach to the subjects. Molecular and macroscopic principles are explained in an integrated, side-by-side manner to give students a deep, intuitive understanding of thermodynamics and equip them to tackle future research topics that focus on the nanoscale. Entropy is introduced from the get-go, providing a clear explanation of how the classical laws connect to the molecular principles, and closing the gap between the atomic world and thermodynamics. Notation is streamlined throughout, with a focus on general concepts and simple models, for building basic physical intuition and gaining confidence in problem analysis and model development. Well over 400 guided end-of-chapter problems are included, addressing conceptual, fundamental, and applied skill sets. Numerous worked examples are also provided together with handy shaded boxes to emphasize key concepts, making this the complete teaching package for students in chemical engineering and the chemical sciences.

Product Details

Format
Paperback
Publication date
2015
Publisher
Cambridge University Press
Condition
New
Series
Cambridge Series in Chemical Engineering
Number of Pages
498
Place of Publication
Cambridge, United Kingdom
ISBN
9781107656789
SKU
V9781107656789
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

About M. Scott Shell
M. Scott Shell is an Associate Professor in the Chemical Engineering Department at the University of California, Santa Barbara. He earned his PhD in Chemical Engineering from Princeton in 2005 and is well known for his ability to communicate complex ideas and teach in an engaging manner. He is the recipient of a Dreyfus Foundation New Faculty Award, an NSF CAREER Award, a Hellman Family Faculty Fellowship, a Northrop Grumman Teaching Award, and a Sloan Research Fellowship.

Reviews for Thermodynamics and Statistical Mechanics: An Integrated Approach (Cambridge Series in Chemical Engineering)
'This textbook presents an accessible (but still rigorous) treatment of the material at a beginning-graduate level, including many worked examples. By making the concept of entropy central to the book, Professor Shell provides an organizing principle that makes it easier for the students to achieve mastery of this important area.' Athanassios Z. Panagiotopoulos, Princeton University 'Other integrated treatments of thermodynamics and statistical mechanics exist, but this one stands out as remarkably thoughtful and clear in its selection and illumination of key concepts needed for understanding and modeling materials and processes.' Thomas Truskett, University of Texas, Austin 'This text provides a long-awaited and modern approach that integrates statistical mechanics with classical thermodynamics, rather than the traditional sequential approach, in which teaching of the molecular origins of thermodynamic laws and models only follows later, after classical thermodynamics. The author clearly shows how classical thermodynamic concepts result from the underlying behavior of the molecules themselves.' Keith E. Gubbins, North Carolina State University

Goodreads reviews for Thermodynamics and Statistical Mechanics: An Integrated Approach (Cambridge Series in Chemical Engineering)


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