國立高雄大學圖資館 |

Language: English

Back

Statistical physics for biological m...

SpringerLink (Online service)

Statistical physics for biological matter

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical physics for biological matterby Wokyung Sung.
Author:	Sung, Wokyung.
Published:	Dordrecht :Springer Netherlands :2018.
Description:	xxiii, 435 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Statistical physics.
Online resource:	https://doi.org/10.1007/978-94-024-1584-1
ISBN:	9789402415841$q(electronic bk.)

Statistical physics for biological matter
Sung, Wokyung.

Statistical physics for biological matter[electronic resource] /by Wokyung Sung. - Dordrecht :Springer Netherlands :2018. - xxiii, 435 p. :ill. (some col.), digital ;24 cm. - Graduate texts in physics,1868-4513. - Graduate texts in physics..

1. Introduction : Biological Systems, and Physical ApproachesBring Physics to Life, Bring Life to Physics. Part A: Equilibrium Structures and Properties -- 2. Basic Concepts of Relevant Thermodynamics -- 3. Basic Methods of Equilibrium Statistical Physics -- 4. Statistical Mechanics of Fluids and Solutions -- 5. The Coarse-grained Descriptions for Biological Complexes. 6 -- Water and Weak Electrostatic Interactions -- 7. Law of Chemical Forces: Transitions, Reactions and Self-assembly -- 8. Lattice and Ising Models -- 9. Response, Fluctuations, Correlations, and Scatterings -- 10. Mesoscopic model for Polymers: Flexible Chains -- 11. Mesoscopic model for Polymers: Semi-flexible Chain Model and Polyelectrolytes -- 12. Membranes and Elastic Surfaces -- 13.Brownian Motions -- 14. Stochastic Processes, Markov Chains and Master Equations -- 15. Theory of Markov Processes & The Fokker-Planck Equations -- 16. The Mean-First Passage Times and Barrier Crossing Rates.17 -- Dynamic Linear Responses and Time Correlation Functions -- 18. Noise-induced Resonances: Stochastic Resonance and Resonant Activation, and Stochastic Ratchet. 19 -- Transport Phenomena and Fluid Dynamics -- 20. Dynamics of Polymers and Membranes in Fluids -- 21. Epilogue.

This textbook covers 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. 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. This book fills 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. By systematically and coherently covering the basic principles, this book helps the readers to build up their understanding of nonspecific concepts and theoretical methods, which they may be able to apply to a broader class of biological problems. While intended as a graduate level textbook, it can also address the interested senior level undergraduate. In addition, it is suitable for those involved in research on biological systems or soft matter based on physics, particularly on statistical physics.

ISBN: 9789402415841$q(electronic bk.)

Standard No.: 10.1007/978-94-024-1584-1doiSubjects--Topical Terms:

183716
Statistical physics.

LC Class. No.: QC174.8 / .S864 2018

Dewey Class. No.: 530.1595

Statistical physics for biological matter
LDR:03935nmm a2200349 a 4500 001 545924
003 DE-He213
005 20190327133429.0
006 m d
007 cr nn 008maaau
008 190530s2018 ne s 0 eng d
020 $a 9789402415841$q(electronic bk.)
020 $a 9789402415834$q(paper)
024 7 $a 10.1007/978-94-024-1584-1 $2 doi
035 $a 978-94-024-1584-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QC174.8 $b .S864 2018
072 7 $a PHVN $2 bicssc
072 7 $a SCI009000 $2 bisacsh
072 7 $a PHVN $2 thema
072 7 $a PHVD $2 thema
082 0 4 $a 530.1595 $2 23
090 $a QC174.8 $b .S958 2018
100 1 $a Sung, Wokyung. $3 825046
245 1 0 $a Statistical physics for biological matter $h [electronic resource] / $c by Wokyung Sung.
260 $a Dordrecht : $b Springer Netherlands : $b Imprint: Springer, $c 2018.
300 $a xxiii, 435 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Graduate texts in physics, $x 1868-4513
505 0 $a 1. Introduction : Biological Systems, and Physical ApproachesBring Physics to Life, Bring Life to Physics. Part A: Equilibrium Structures and Properties -- 2. Basic Concepts of Relevant Thermodynamics -- 3. Basic Methods of Equilibrium Statistical Physics -- 4. Statistical Mechanics of Fluids and Solutions -- 5. The Coarse-grained Descriptions for Biological Complexes. 6 -- Water and Weak Electrostatic Interactions -- 7. Law of Chemical Forces: Transitions, Reactions and Self-assembly -- 8. Lattice and Ising Models -- 9. Response, Fluctuations, Correlations, and Scatterings -- 10. Mesoscopic model for Polymers: Flexible Chains -- 11. Mesoscopic model for Polymers: Semi-flexible Chain Model and Polyelectrolytes -- 12. Membranes and Elastic Surfaces -- 13.Brownian Motions -- 14. Stochastic Processes, Markov Chains and Master Equations -- 15. Theory of Markov Processes & The Fokker-Planck Equations -- 16. The Mean-First Passage Times and Barrier Crossing Rates.17 -- Dynamic Linear Responses and Time Correlation Functions -- 18. Noise-induced Resonances: Stochastic Resonance and Resonant Activation, and Stochastic Ratchet. 19 -- Transport Phenomena and Fluid Dynamics -- 20. Dynamics of Polymers and Membranes in Fluids -- 21. Epilogue.
520 $a This textbook covers 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. 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. This book fills 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. By systematically and coherently covering the basic principles, this book helps the readers to build up their understanding of nonspecific concepts and theoretical methods, which they may be able to apply to a broader class of biological problems. While intended as a graduate level textbook, it can also address the interested senior level undergraduate. In addition, it is suitable for those involved in research on biological systems or soft matter based on physics, particularly on statistical physics.
650 0 $a Statistical physics. $3 183716
650 0 $a Biophysics. $3 188608
650 1 4 $a Biological and Medical Physics, Biophysics. $3 759746
650 2 4 $a Statistical Physics and Dynamical Systems. $3 760415
650 2 4 $a Soft and Granular Matter, Complex Fluids and Microfluidics. $3 379754
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Graduate texts in physics. $3 513710
856 4 0 $u https://doi.org/10.1007/978-94-024-1584-1
950 $a Physics and Astronomy (Springer-11651)