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Statistical Physics for Biological Matter

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Cover of 'Statistical Physics for Biological Matter'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Biological Systems and Physical Approaches
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    Chapter 2 Basic Concepts of Relevant Thermodynamics and Thermodynamic Variables
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    Chapter 3 Basic Methods of Equilibrium Statistical Mechanics
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    Chapter 4 Statistical Mechanics of Fluids and Solutions
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    Chapter 5 Coarse-Grained Description: Mesoscopic States, Effective Hamiltonian and Free Energy Functions
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    Chapter 6 Water and Biologically-Relevant Interactions
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    Chapter 7 Law of Chemical Forces: Transitions, Reactions, and Self-assemblies
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    Chapter 8 The Lattice and Ising Models
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    Chapter 9 Responses, Fluctuations, Correlations and Scatterings
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    Chapter 10 Mesoscopic Models of Polymers: Flexible Chains
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    Chapter 11 Mesoscopic Models of Polymers: Semi-flexible Chains and Polyelectrolytes
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    Chapter 12 Membranes and Elastic Surfaces
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    Chapter 13 Brownian Motions
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    Chapter 14 Stochastic Processes, Markov Chains and Master Equations
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    Chapter 15 Theory of Markov Processes and the Fokker-Planck Equations
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    Chapter 16 The Mean-First Passage Times and Barrier Crossing Rates
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    Chapter 17 Dynamic Linear Responses and Time Correlation Functions
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    Chapter 18 Noise-Induced Resonances: Stochastic Resonance, Resonant Activation, and Stochastic Ratchets
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    Chapter 19 Transport Phenomena and Fluid Dynamics
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    Chapter 20 Dynamics of Polymers and Membranes in Fluids
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    Chapter 21 Epilogue
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Title
Statistical Physics for Biological Matter
Published by
Springer Netherlands, October 2018
DOI 10.1007/978-94-024-1584-1
ISBNs
978-9-40-241583-4, 978-9-40-241584-1
Authors

Sung, Wokyung

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 67%
Researcher 3 50%
Lecturer 2 33%
Professor > Associate Professor 2 33%
Student > Doctoral Student 2 33%
Other 2 33%
Readers by discipline Count As %
Physics and Astronomy 6 100%
Biochemistry, Genetics and Molecular Biology 4 67%
Philosophy 1 17%
Medicine and Dentistry 1 17%
Engineering 1 17%
Other 0 0%