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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 |
Binder, Kurt |
Monte Carlo Simulation in Statistical Physics |
I08583 |
2019 |
eBook |
|
| 2 |
Binder, Kurt |
Monte Carlo Simulation in Statistical Physics |
I10744 |
2002 |
eBook |
|
| 3 |
Binder, Kurt |
Monte Carlo Simulation in Statistical Physics |
I06506 |
2010 |
eBook |
|
| 4 |
Ferrario, Mauro |
Computer Simulations in Condensed Matter: From Materials to Chemical Biology. Volume 1 |
I06074 |
2006 |
eBook |
|
| 5 |
Ferrario, Mauro |
Computer Simulations in Condensed Matter: From Materials to Chemical Biology. Volume 2 |
I06014 |
2006 |
eBook |
|
| 6 |
Binder, Kurt |
The Monte Carlo Method in Condensed Matter Physics |
I05262 |
1995 |
eBook |
|
| 7 |
Binder, Kurt |
Monte Carlo Simulation in Statistical Physics |
I03926 |
1997 |
eBook |
|
| 8 |
Binder, Kurt |
Monte Carlo Simulation in Statistical Physics |
I03366 |
1992 |
eBook |
|
| 9 |
Binder, Kurt |
Monte Carlo Simulation in Statistical Physics |
I03137 |
1988 |
eBook |
|
| 10 |
Binder, Kurt |
The Monte Carlo Method in Condensed Matter Physics |
I02574 |
1992 |
eBook |
|
|
|
1.
  |
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| Title | Monte Carlo Simulation in Statistical Physics : An Introduction |
| Author(s) | Binder, Kurt;Heermann, Dieter W |
| Publication | Cham, Springer International Publishing, 2019. |
| Description | XVII, 258 p. 155 illus., 5 illus. in color : online resource |
| Abstract Note | The sixth edition of this highly successful textbook provides a detailed introduction to Monte Carlo simulation in statistical physics, which deals with the computer simulation of many-body systems in condensed matter physics and related fields of physics and beyond (traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, these powerful simulation methods calculate probability distributions, making it possible to estimate the thermodynamic properties of various systems. The book describes the theoretical background of these methods, enabling newcomers to perform such simulations and to analyse their results. It features a modular structure, with two chapters providing a basic pedagogic introduction plus exercises suitable for university courses; the remaining chapters cover major recent developments in the field. This edition has been updated with two new chapters dealing with recently developed powerful special algorithms and with finite size scaling tools for the study of interfacial phenomena, which are important for nanoscience. Previous editions have been highly praised and widely used by both students and advanced researchers |
| ISBN,Price | 9783030107581 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPUTER SIMULATION
3. CONDENSED MATTER
4. CONDENSED MATTER PHYSICS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. MATHEMATICAL PHYSICS
9. Numerical and Computational Physics, Simulation
10. PHYSICAL CHEMISTRY
11. PHYSICS
12. Simulation and Modeling
13. STATISTICAL PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08583 |
|
|
On Shelf |
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2.
 |
|
| Title | Monte Carlo Simulation in Statistical Physics : An Introduction |
| Author(s) | Binder, Kurt;Heermann, Dieter W |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2002. |
| Description | XII, 183 p : online resource |
| Abstract Note | Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methods and gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. This fourth edition has been updated and a new chapter on Monte Carlo simulation of quantum-mechanical problems has been added. To help students in their work a special web server has been installed to host programs and discussion groups (http://wwwcp.tphys.uni-heidelberg.de). Prof. Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001 |
| ISBN,Price | 9783662046852 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. CONDENSED MATTER
3. CONDENSED MATTER PHYSICS
4. DYNAMICAL SYSTEMS
5. EBOOK
6. EBOOK - SPRINGER
7. Mathematical Methods in Physics
8. Numerical and Computational Physics, Simulation
9. PHYSICAL CHEMISTRY
10. PHYSICS
11. STATISTICAL PHYSICS
12. THERMODYNAMICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10744 |
|
|
On Shelf |
|
|
|
|
|
3.
|
|
| Title | Monte Carlo Simulation in Statistical Physics : An Introduction |
| Author(s) | Binder, Kurt;Heermann, Dieter W |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2010. |
| Description | XIV, 202 p : online resource |
| Abstract Note | Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methods and gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. The fifth edition covers Classical as well as Quantum Monte Carlo methods. Furthermore a new chapter on the sampling of free-energy landscapes has been added. To help students in their work a special web server has been installed to host programs and discussion groups (http://wwwcp.tphys.uni-heidelberg.de). Prof. Binder was awarded the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in 2007. |
| ISBN,Price | 9783642031632 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPUTER SIMULATION
3. CONDENSED MATTER
4. CONDENSED MATTER PHYSICS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. Management science
9. Mathematical Methods in Physics
10. OPERATIONS RESEARCH
11. Operations Research, Management Science
12. PHYSICAL CHEMISTRY
13. PHYSICS
14. Simulation and Modeling
15. STATISTICAL PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06506 |
|
|
On Shelf |
|
|
|
|
|
4.
|
|
| Title | Computer Simulations in Condensed Matter: From Materials to Chemical Biology. Volume 1 |
| Author(s) | Ferrario, Mauro;Ciccotti, Giovanni;Binder, Kurt |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2006. |
| Description | XVI, 713 p : online resource |
| Abstract Note | This extensive and comprehensive collection of lectures by world-leading experts in the field introduces and reviews all relevant computer simulation methods and their applications in condensed matter systems. Volume 1 is an in-depth introduction to a vast spectrum of computational techniques for statistical mechanical systems of condensed matter. It will enable the graduate student and both the specialist and nonspecialist researcher to get acquainted with the tools necessary to carry out numerical simulations at an advanced level. Volume 2 published as LNP 704 (ISBN 3-540-35283-X) is a collection of state-of-the-art surveys on numerical experiments carried out for a great number of systems, ranging from materials sciences to chemical biology |
| ISBN,Price | 9783540352730 |
| Keyword(s) | 1. Chemistry, Physical and theoretical
2. COMPLEX SYSTEMS
3. Computational Science and Engineering
4. Computer mathematics
5. CONDENSED MATTER
6. CONDENSED MATTER PHYSICS
7. DYNAMICAL SYSTEMS
8. EBOOK
9. EBOOK - SPRINGER
10. MATERIALS SCIENCE
11. Materials Science, general
12. Numerical and Computational Physics, Simulation
13. PHYSICS
14. STATISTICAL PHYSICS
15. Theoretical and Computational Chemistry
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06074 |
|
|
On Shelf |
|
|
|
|
|
5.
|
|
| Title | Computer Simulations in Condensed Matter: From Materials to Chemical Biology. Volume 2 |
| Author(s) | Ferrario, Mauro;Ciccotti, Giovanni;Binder, Kurt |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2006. |
| Description | XVI, 592 p : online resource |
| Abstract Note | This extensive and comprehensive collection of lectures by world-leading experts in the field introduces and reviews all relevant computer simulation methods and their applications in condensed matter systems. Volume 1, published as LNP 703 (ISBN 3-540-35270-8) is an in-depth introduction to a vast spectrum of computational techniques for statistical mechanical systems of condensed matter. It will enable the graduate student and both the specialist and nonspecialist researcher to get acquainted with the tools necessary to carry out numerical simulations at an advanced level. The present volume is a state-of-the-art survey on numerical experiments carried out for a great number of systems, ranging from materials sciences to chemical biology, such as supercooled liquids, spin glasses, colloids, polymers, liquid crystals, biological membranes and folding proteins |
| ISBN,Price | 9783540352846 |
| Keyword(s) | 1. Chemistry, Physical and theoretical
2. COMPLEX SYSTEMS
3. Computational Science and Engineering
4. Computer mathematics
5. CONDENSED MATTER
6. CONDENSED MATTER PHYSICS
7. DYNAMICAL SYSTEMS
8. EBOOK
9. EBOOK - SPRINGER
10. MATERIALS SCIENCE
11. Materials Science, general
12. Numerical and Computational Physics, Simulation
13. PHYSICS
14. STATISTICAL PHYSICS
15. Theoretical and Computational Chemistry
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06014 |
|
|
On Shelf |
|
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|
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|
6.
|
|
| Title | The Monte Carlo Method in Condensed Matter Physics |
| Author(s) | Binder, Kurt |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1995. |
| Description | XX, 420 p. 43 illus : online resource |
| Abstract Note | Alongside experimental and theoretical work, computer simulation now forms one of the major tools of research in physics. The Monte Carlo method is the most important simulation method in the area of condensed matter physics. This book, written by foremost experts in the field, describes the state of the art of simulation methods in solid state physics. It also reviews selected applications in areas of particular current interest like simulations of growth processes far from equilibrium, interfacial phenomena, quantum and classical fluids, polymers, quantum problems on lattices, and random systems. A new chapter on recent developments in the Monte Carlo simulation of condensed matter has been attached |
| ISBN,Price | 9783540446644 |
| Keyword(s) | 1. CONDENSED MATTER
2. CONDENSED MATTER PHYSICS
3. EBOOK
4. EBOOK - SPRINGER
5. Mathematical Methods in Physics
6. Numerical and Computational Physics, Simulation
7. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05262 |
|
|
On Shelf |
|
|
|
|
|
8.
|
|
| Title | Monte Carlo Simulation in Statistical Physics : An Introduction |
| Author(s) | Binder, Kurt;Heermann, Dieter W |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1992. |
| Description | VIII, 132 p. 4 illus : online resource |
| Abstract Note | When learning very formal material one comes to a stage where one thinks one has understood the material. Confronted with a "realiife" problem, the passivity of this understanding sometimes becomes painfully elear. To be able to solve the problem, ideas, methods, etc. need to be ready at hand. They must be mastered (become active knowledge) in order to employ them successfully. Starting from this idea, the leitmotif, or aim, of this book has been to elose this gap as much as possible. How can this be done? The material presented here was born out of a series of lectures at the Summer School held at Figueira da Foz (Portugal) in 1987. The series of lectures was split into two concurrent parts. In one part the "formal material" was presented. Since the background of those attending varied widely, the presentation of the formal material was kept as pedagogic as possible. In the formal part the general ideas behind the Monte Carlo method were developed. The Monte Carlo method has now found widespread appli?? cation in many branches of science such as physics, chemistry, and biology. Because of this, the scope of the lectures had to be narrowed down. We could not give a complete account and restricted the treatment to the ap?? plication of the Monte Carlo method to the physics of phase transitions. Here particular emphasis is placed on finite-size effects |
| ISBN,Price | 9783662302736 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. DYNAMICAL SYSTEMS
3. EBOOK
4. EBOOK - SPRINGER
5. Mathematical Methods in Physics
6. Numerical and Computational Physics, Simulation
7. PHYSICAL CHEMISTRY
8. PHYSICS
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems
11. THERMODYNAMICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I03366 |
|
|
On Shelf |
|
|
|
|
|
9.
|
|
| Title | Monte Carlo Simulation in Statistical Physics : An Introduction |
| Author(s) | Binder, Kurt;Heermann, Dieter W |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1988. |
| Description | VIII, 129 p. 5 illus : online resource |
| Abstract Note | When leaming very formal material one comes to a stage where one thinks one has understood the material. Confronted with a "reallife" problem, the passivity of this understanding sometimes becomes painfully elear. To be able to solve the problem, ideas, methods, etc. need to be ready at hand. They must be mastered (become active knowledge) in order to employ them successfully. Starting from this idea, the leitmotif, or aim, of this book has been to elose this gap as much as possible. How can this be done? The material presented here was born out of a series of lectures at the Summer School held at Figueira da Foz (Portugal) in 1987. The series of lectures was split into two concurrent parts. In one part the "formal material" was presented. Since the background of those attending varied widely, the presentation of the formal material was kept as pedagogic as possible. In the formal part the general ideas behind the Monte Carlo method were developed. The Monte Carlo method has now found widespread appli?? cation in many branches of science such as physics, chemistry, and biology. Because of this, the scope of the lectures had to be narrowed down. We could not give a complete account and restricted the treatment to the ap?? plication of the Monte Carlo method to the physics of phase transitions. Here particular emphasis is placed on finite-size effects |
| ISBN,Price | 9783662088548 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. CONDENSED MATTER
3. CONDENSED MATTER PHYSICS
4. DYNAMICAL SYSTEMS
5. EBOOK
6. EBOOK - SPRINGER
7. Mathematical Methods in Physics
8. Numerical and Computational Physics, Simulation
9. PHYSICS
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
12. THERMODYNAMICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I03137 |
|
|
On Shelf |
|
|
|
|
|
10.
| |
| Title | The Monte Carlo Method in Condensed Matter Physics |
| Author(s) | Binder, Kurt |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1992. |
| Description | XVI, 393 p. 32 illus : online resource |
| Abstract Note | The Monte Carlo method is now widely used and commonly accepted as an important and useful tool in solid state physics and related fields. It is broadly recognized that the technique of "computer simulation" is complementary to both analytical theory and experiment, and can significantly contribute to ad?? vancing the understanding of various scientific problems. Widespread applications of the Monte Carlo method to various fields of the statistical mechanics of condensed matter physics have already been reviewed in two previously published books, namely Monte Carlo Methods in Statistical Physics (Topics Curro Phys. , Vol. 7, 1st edn. 1979, 2ndedn. 1986) and Applications of the Monte Carlo Method in Statistical Physics (Topics Curro Phys. , Vol. 36, 1st edn. 1984, 2nd edn. 1987). Meanwhile the field has continued its rapid growth and expansion, and applications to new fields have appeared that were not treated at all in the above two books (e. g. studies of irreversible growth phenomena, cellular automata, interfaces, and quantum problems on lattices). Also, new methodic aspects have emerged, such as aspects of efficient use of vector com?? puters or parallel computers, more efficient analysis of simulated systems con?? figurations, and methods to reduce critical slowing down at i>hase transitions. Taken together with the extensive activity in certain traditional areas of research (simulation of classical and quantum fluids, of macromolecular materials, of spin glasses and quadrupolar glasses, etc |
| ISBN,Price | 9783662028551 |
| Keyword(s) | 1. CONDENSED MATTER
2. CONDENSED MATTER PHYSICS
3. EBOOK
4. EBOOK - SPRINGER
5. Mathematical Methods in Physics
6. Numerical and Computational Physics, Simulation
7. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02574 |
|
|
On Shelf |
|
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