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Statistical mechanics [2nd. ed.] (Record no. 567300)

MARC details
000 -LEADER
fixed length control field 02437 a2200217 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780198825562
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 530.13
Item number T799s2
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Tuckerman, Mark E.
245 ## - TITLE STATEMENT
Title Statistical mechanics [2nd. ed.]
Remainder of title theory and molecular simulation
Statement of responsibility, etc Mark E. Tuckerman
250 ## - EDITION STATEMENT
Edition statement 2nd. ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Oxford University Press
Year of publication 2023
Place of publication Oxford
300 ## - PHYSICAL DESCRIPTION
Number of Pages xvii, 860p
490 ## - SERIES STATEMENT
Series statement Oxford graduate texts
520 ## - SUMMARY, ETC.
Summary, etc "Complex problems that cross traditional disciplinary lines between physics, chemistry, biology, and materials science can be studied at an unprecedented level of detail using increasingly sophisticated theoretical methodology and high-speed computing platforms. The tools of statistical mechanics provide the bridge between the atomistic descriptions of these complex systems and the macroscopic observables accessible to experimental investigations and predictable in computer simulations. The aim of this book is to prepare burgeoning users and developers to become active researchers in the theoretical and computational molecular sciences by uniting, in one monograph, the theoretical underpinnings of equilibrium and time-dependent classical and quantum statistical mechanics with modern computational techniques used to put these concepts into practice to address real-world applications. The book contains detailed reviews of classical and quantum mechanics and in-depth discussions of the most commonly used statistical ensembles side by side with modern computational methods such as molecular dynamics, Monte Carlo, advanced configurational and trajectory sampling approaches, free-energy based rare-event sampling approaches, Feynman path integral techniques, linear response theory and time correlation functions, stochastic methods, critical phenomena, and an introduction to machine learning and its uses in statistical mechanics. Readers of this book will be provided, in a pedagogical manner, with a firm foundation in both the theory and practical implementation of statistical mechanical concepts, thus allowing them to approach application technology with an understanding of the underlying algorithms and to become, themselves, creators of new and powerful approaches for solving challenging research problems"-- Provided by publisher
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Statistical mechanics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Statistical mechanics computer
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Copy number Cost, replacement price Koha item type
        TEXT PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 26/11/2024 2 5323.50 530.13 T799s2 cop.2 A186609 Copy 2 7098.00 Text Books
        TEXT PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 26/11/2024 2 5323.50 530.13 T799s2 cop.1 A186608 Copy1 7098.00 Text Books

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