Ebook: The Monte Carlo Method in Condensed Matter Physics
- Tags: Mathematical Methods in Physics, Numerical and Computational Methods, Condensed Matter
- Series: Topics in Applied Physics 71
- Year: 1995
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 2
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages -
Introduction....Pages 1-22
Vectorisation of Monte Carlo programs for lattice models using supercomputers....Pages 23-51
Parallel algorithms for statistical physics problems....Pages 53-74
New monte carlo methods for improved efficiency of computer simulations in statistical mechanics....Pages 75-91
Simulation of random growth processes....Pages 93-120
Recent progress in the simulation of classical fluids....Pages 121-204
Monte Carlo techniques for quantum fluids, solids and droplets....Pages 205-248
Quantum lattice problems....Pages 249-284
Simulations of macromolecules....Pages 285-316
Percolation, critical phenomena in dilute magnets, cellular automata and related problems....Pages 317-328
Interfaces, wetting phenomena, incommensurate phases....Pages 329-354
Spin glasses, orientational glasses and random field systems....Pages 355-384
Recent developments in the Monte Carlo simulation of condensed matter....Pages 385-410
Back Matter....Pages -
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.
Content:
Front Matter....Pages -
Introduction....Pages 1-22
Vectorisation of Monte Carlo programs for lattice models using supercomputers....Pages 23-51
Parallel algorithms for statistical physics problems....Pages 53-74
New monte carlo methods for improved efficiency of computer simulations in statistical mechanics....Pages 75-91
Simulation of random growth processes....Pages 93-120
Recent progress in the simulation of classical fluids....Pages 121-204
Monte Carlo techniques for quantum fluids, solids and droplets....Pages 205-248
Quantum lattice problems....Pages 249-284
Simulations of macromolecules....Pages 285-316
Percolation, critical phenomena in dilute magnets, cellular automata and related problems....Pages 317-328
Interfaces, wetting phenomena, incommensurate phases....Pages 329-354
Spin glasses, orientational glasses and random field systems....Pages 355-384
Recent developments in the Monte Carlo simulation of condensed matter....Pages 385-410
Back Matter....Pages -
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