Statistical Physics of Polymers An Introduction / by Toshihiro Kawakatsu.

This textbook provides senior undergraduate and graduate students with an introduction to the basic concepts used the statistical physics of polymers. Methods of Gaussian chain statistics are discussed in detail. Applications to numerous interesting phenomena ranging from the microscopic (chain conf...

Full description

Saved in:
Bibliographic Details
Main Author: Kawakatsu, Toshihiro (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
Edition:1st ed. 2004.
Series:Advanced Texts in Physics,
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

MARC

LEADER 00000nam a22000005i 4500
001 b3245397
003 MWH
005 20191026032752.0
007 cr nn 008mamaa
008 130107s2004 gw | s |||| 0|eng d
020 |a 9783662100240 
024 7 |a 10.1007/978-3-662-10024-0  |2 doi 
035 |a (DE-He213)978-3-662-10024-0 
050 4 |a E-Book 
072 7 |a PHN  |2 bicssc 
072 7 |a SCI074000  |2 bisacsh 
072 7 |a PHN  |2 thema 
100 1 |a Kawakatsu, Toshihiro.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Statistical Physics of Polymers  |h [electronic resource] :  |b An Introduction /  |c by Toshihiro Kawakatsu. 
250 |a 1st ed. 2004. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2004. 
300 |a XI, 216 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advanced Texts in Physics,  |x 1439-2674 
490 1 |a Springer eBook Collection 
505 0 |a 1 Introduction -- 2 Gaussian Chain Model and Statistics of Polymers -- 3 Mesoscopic Structures and Self-Consistent Field Theory -- 4 Ginzburg—Landau Theory -- 5 Macroscopic Viscoelastic Theory of Polymers -- References. 
520 |a This textbook provides senior undergraduate and graduate students with an introduction to the basic concepts used the statistical physics of polymers. Methods of Gaussian chain statistics are discussed in detail. Applications to numerous interesting phenomena ranging from the microscopic (chain conformations, biopolymers, etc.) to the macroscopic (phase separations, rheology, etc.) are described. Readers are assumed to have taken elementary courses on statistical physics, quantum physics and mathematical physics, but prior knowledge of polymer science is not required. The book contains many illustrations and diagrams as well as exercises, which will help readers to easily and intuitively understand the concepts described in the text. 
590 |a Loaded electronically. 
590 |a Electronic access restricted to members of the Holy Cross Community. 
650 0 |a Atomic structure  . 
650 0 |a Molecular structure . 
650 0 |a Statistical physics. 
650 0 |a Dynamical systems. 
650 0 |a Physical chemistry. 
650 0 |a Polymers  . 
650 0 |a Materials science. 
650 0 |a Condensed matter. 
690 |a Electronic resources (E-books) 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
830 0 |a Advanced Texts in Physics,  |x 1439-2674 
830 0 |a Springer eBook Collection. 
856 4 0 |u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-3-662-10024-0  |3 Click to view e-book  |t 0 
907 |a .b32453978  |b 04-18-22  |c 02-26-20 
998 |a he  |b 02-26-20  |c m  |d @   |e -  |f eng  |g gw   |h 0  |i 1 
912 |a ZDB-2-PHA 
912 |a ZDB-2-BAE 
950 |a Physics and Astronomy (Springer-11651) 
902 |a springer purchased ebooks 
903 |a SEB-COLL 
945 |f  - -   |g 1  |h 0  |j  - -   |k  - -   |l he   |o -  |p $0.00  |q -  |r -  |s b   |t 38  |u 0  |v 0  |w 0  |x 0  |y .i21585623  |z 02-26-20 
999 f f |i 09a7f841-06c2-5851-a43f-a7a1528bdccc  |s 1349bbc4-a44d-5f4d-b072-a951b30b1fa0  |t 0 
952 f f |p Online  |a College of the Holy Cross  |b Main Campus  |c E-Resources  |d Online  |t 0  |e E-Book  |h Library of Congress classification  |i Elec File