9780521765626-0521765625-Molecular Engineering Thermodynamics (Cambridge Series in Chemical Engineering)

Molecular Engineering Thermodynamics (Cambridge Series in Chemical Engineering)

ISBN-13: 9780521765626
ISBN-10: 0521765625
Edition: 1
Author: Juan J. de Pablo, Jay D. Schieber
Publication date: 2014
Publisher: Cambridge University Press
Format: Hardcover 501 pages
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Book details

ISBN-13: 9780521765626
ISBN-10: 0521765625
Edition: 1
Author: Juan J. de Pablo, Jay D. Schieber
Publication date: 2014
Publisher: Cambridge University Press
Format: Hardcover 501 pages

Summary

Molecular Engineering Thermodynamics (Cambridge Series in Chemical Engineering) (ISBN-13: 9780521765626 and ISBN-10: 0521765625), written by authors Juan J. de Pablo, Jay D. Schieber, was published by Cambridge University Press in 2014. With an overall rating of 4.2 stars, it's a notable title among other Chemical (Engineering, Mechanical) books. You can easily purchase or rent Molecular Engineering Thermodynamics (Cambridge Series in Chemical Engineering) (Hardcover) from BooksRun, along with many other new and used Chemical books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $15.8.

Description

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, emphasising 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 summarising commonly used symbols, useful equations of state, microscopic balances for open systems, and links to useful online tools and datasets.

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