Theoretical Physics For Biological Systems

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Statistical Physics for Biological Matter

Statistical Physics for Biological Matter
Author :
Publisher : Springer
Total Pages : 444
Release :
ISBN-10 : 9789402415841
ISBN-13 : 940241584X
Rating : 4/5 (84X Downloads)

Book Synopsis Statistical Physics for Biological Matter by : Wokyung Sung

Download or read book Statistical Physics for Biological Matter written by Wokyung Sung and published by Springer. This book was released on 2018-10-19 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to cover a broad range of topics in statistical physics, including statistical mechanics (equilibrium and non-equilibrium), soft matter and fluid physics, for applications to biological phenomena at both cellular and macromolecular levels. It is intended to be a graduate level textbook, but can also be addressed to the interested senior level undergraduate. The book is written also for those involved in research on biological systems or soft matter based on physics, particularly on statistical physics. Typical statistical physics courses cover ideal gases (classical and quantum) and interacting units of simple structures. In contrast, even simple biological fluids are solutions of macromolecules, the structures of which are very complex. The goal of this book to fill this wide gap by providing appropriate content as well as by explaining the theoretical method that typifies good modeling, namely, the method of coarse-grained descriptions that extract the most salient features emerging at mesoscopic scales. The major topics covered in this book include thermodynamics, equilibrium statistical mechanics, soft matter physics of polymers and membranes, non-equilibrium statistical physics covering stochastic processes, transport phenomena and hydrodynamics. Generic methods and theories are described with detailed derivations, followed by applications and examples in biology. The book aims to help the readers build, systematically and coherently through basic principles, their own understanding of nonspecific concepts and theoretical methods, which they may be able to apply to a broader class of biological problems.


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