An introduction to quantum Monte Carlo methods /

Monte Carlo methods have been very prominent in computer simulation of various systems in physics, chemistry, biology, and materials science. This book focuses on the discussion and path-integral quantum Monte Carlo methods in many-body physics and provides a concise but complete introduction to the...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pang, Tao, 1959- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA) : Morgan & Claypool Publishers, [2016]
Colección:IOP (Series). Release 3.
IOP concise physics.
Temas:
Monte Carlo method.
Quantum chemistry.
Quantum Physics.
SCIENCE / Physics / Quantum Theory.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Preface
  • 1. Introduction
  • 1.1. Sampling
  • 1.2. Random-number generators
  • 2. The Metropolis algorithm
  • 2.1. Importance sampling
  • 2.2. Classical liquids
  • 2.3. Block algorithms
  • 3. Variational Monte Carlo
  • 3.1. Variational principle
  • 3.2. The Metropolis step
  • 3.3. Kinetic energy and wavefunction
  • 3.4. Quantum dots
  • 4. Diffusion Monte Carlo
  • 4.1. The algorithm
  • 4.2. Evaluation of physical quantities
  • 4.3. 4He clusters on a graphite surface
  • 5. Path-integral Monte Carlo
  • 5.1. Introduction
  • 5.2. The propagation of a quantum state
  • 5.3. Single-particle system
  • 5.4. Quantum many-body systems
  • 5.5. Physical properties of extended systems
  • 5.6. Cold atoms.

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