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Click the serial number on the left to view the details of the item. |
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Author | Title | Accn# | Year | Item Type | Claims |
1 |
James Gubernatis |
Quantum Monte Carlo methods: Algorithms for Lattice Models |
026078 |
2016 |
Book |
|
2 |
Michael Bachmann |
Thermodynamics and statistical mechanics of macromolecular systems |
025895 |
2014 |
Book |
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3 |
Rubin H. Landau |
Survery of computational physcis: Introductory computational science |
022194 |
2008 |
Book |
|
4 |
Murthy, K P N |
Monte Carlo methods in statistical physics |
019912 |
2004 |
Book |
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5 |
Claudio Rebbi |
Lattice gauge theories and Monte Carlo simulations |
008143 |
1983 |
Book |
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1.
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Title | Quantum Monte Carlo methods: Algorithms for Lattice Models |
Author(s) | James Gubernatis;Naoki Kawashima;Philipp Werner |
Publication | Cambridge, Cambridge University Press, 2016. |
Description | xiii, 487p. |
Abstract Note | Featuring detailed explanations of the major algorithms used in quantum Monte Carlo simulations, this is the first textbook of its kind to provide a pedagogical overview of the field and its applications. The book provides a comprehensive introduction to the Monte Carlo method, its use, and its foundations, and examines algorithms for the simulation of quantum many-body lattice problems at finite and zero temperature. These algorithms include continuous-time loop and cluster algorithms for quantum spins, determinant methods for simulating fermions, power methods for computing ground and excited states, and the variational Monte Carlo method. Also discussed are continuous-time algorithms for quantum impurity models and their use within dynamical mean-field theory, along with algorithms for analytically continuing imaginary-time quantum Monte Carlo data. The parallelization of Monte Carlo simulations is also addressed. This is an essential resource for graduate students, teachers, and researchers interested in quantum Monte Carlo techniques. |
ISBN,Price | 9781107006423 : 49.99(HB) |
Classification | 519.245:530.145
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Keyword(s) | 1. EBOOK
2. EBOOK - CAMBRIDGE UNIVERSITY PRESS
3. MANY-BODY PROBLEM
4. MONTE CARLO METHODS
5. MONTE CARLO SIMULATIONS
6. QUANTUM MONTE CARLO METHODS
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Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
026078 |
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519.245:530.145/UB/026078 |
On Shelf |
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OB0865 |
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519.245:530.145/GUB/ |
On Shelf |
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+Copy Specific Information |
2.
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Title | Thermodynamics and statistical mechanics of macromolecular systems |
Author(s) | Michael Bachmann |
Publication | Cambridge, Cambridge University Press, 2014. |
Description | xv, 342p. |
Abstract Note | The structural mechanics of proteins that fold into functional shapes, polymers that aggregate and form clusters, and organic macromolecules that bind to inorganic matter can only be understood through statistical physics and thermodynamics. This book reviews the statistical mechanics concepts and tools necessary for the study of structure formation processes in macromolecular systems that are essentially influenced by finite-size and surface effects. Readers are introduced to molecular modeling approaches, advanced Monte Carlo simulation techniques, and systematic statistical analyses of numerical data. Applications to folding, aggregation, and substrate adsorption processes of polymers and proteins are discussed in great detail. Particular emphasis is placed on the reduction of complexity by coarse-grained modeling, which allows for the efficient, systematic investigation of structural phases and transitions. Providing insight into modern research at this interface between physics, chemistry, biology, and nanotechnology, this book is an excellent reference for graduate students and researchers. |
ISBN,Price | 9781107014473 : HB 50.00(HB) |
Classification | 531.19:536.7
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Keyword(s) | 1. BIOMOLECULAR RESEARCH
2. EBOOK
3. EBOOK - CAMBRIDGE UNIVERSITY PRESS
4. MACROMOLECULAR SYSTEM
5. MONTE CARLO SIMULATIONS
6. STATISTICAL MECHANICS
|
Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
025895 |
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531.19:536.7/BAC/025895 |
On Shelf |
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OB0522 |
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531.19:536.7/BAC/ |
On Shelf |
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+Copy Specific Information | |