Stochastic Thermodynamics

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Stochastic Thermodynamics

Stochastic Thermodynamics
Author :
Publisher : Princeton University Press
Total Pages : 272
Release :
ISBN-10 : 9780691201771
ISBN-13 : 0691201773
Rating : 4/5 (773 Downloads)

Book Synopsis Stochastic Thermodynamics by : Luca Peliti

Download or read book Stochastic Thermodynamics written by Luca Peliti and published by Princeton University Press. This book was released on 2021-07-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive graduate-level introduction to stochastic thermodynamics Stochastic thermodynamics is a well-defined subfield of statistical physics that aims to interpret thermodynamic concepts for systems ranging in size from a few to hundreds of nanometers, the behavior of which is inherently random due to thermal fluctuations. This growing field therefore describes the nonequilibrium dynamics of small systems, such as artificial nanodevices and biological molecular machines, which are of increasing scientific and technological relevance. This textbook provides an up-to-date pedagogical introduction to stochastic thermodynamics, guiding readers from basic concepts in statistical physics, probability theory, and thermodynamics to the most recent developments in the field. Gradually building up to more advanced material, the authors consistently prioritize simplicity and clarity over exhaustiveness and focus on the development of readers’ physical insight over mathematical formalism. This approach allows the reader to grow as the book proceeds, helping interested young scientists to enter the field with less effort and to contribute to its ongoing vibrant development. Chapters provide exercises to complement and reinforce learning. Appropriate for graduate students in physics and biophysics, as well as researchers, Stochastic Thermodynamics serves as an excellent initiation to this rapidly evolving field. Emphasizes a pedagogical approach to the subject Highlights connections with the thermodynamics of information Pays special attention to molecular biophysics applications Privileges physical intuition over mathematical formalism Solutions manual available on request for instructors adopting the book in a course


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