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Computational Statistical Physics

£59.99

  • Authors:
  • Lucas Böttcher, Frankfurt School of Finance and Management and UCLA
  • Hans J. Herrmann, CNRS in Paris, the Federal University of Ceará in Brazil and ETH Zürich
  • Date Published: August 2021
  • availability: In stock
  • format: Hardback
  • isbn: 9781108841429

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  • Providing a detailed and pedagogical account of the rapidly-growing field of computational statistical physics, this book covers both the theoretical foundations of equilibrium and non-equilibrium statistical physics, and also modern, computational applications such as percolation, random walks, magnetic systems, machine learning dynamics, and spreading processes on complex networks. A detailed discussion of molecular dynamics simulations is also included, a topic of great importance in biophysics and physical chemistry. The accessible and self-contained approach adopted by the authors makes this book suitable for teaching courses at graduate level, and numerous worked examples and end of chapter problems allow students to test their progress and understanding.

    • Covers both the theoretical foundations of equilibrium and non-equilibrium statistical physics, and also modern computational applications
    • The accessible and self-contained approach adopted by the authors makes this book suitable for teaching courses at graduate level
    • Numerous end of chapter exercises allow students to test their progress and understanding.
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    Product details

    • Date Published: August 2021
    • format: Hardback
    • isbn: 9781108841429
    • length: 268 pages
    • dimensions: 260 x 208 x 20 mm
    • weight: 0.75kg
    • availability: In stock
  • Table of Contents

    Preface
    Part I. Stochastic Methods:
    1. Random Numbers
    2. Random-Geometrical Models
    3. Equilibrium Systems
    4. Monte-Carlo Methods
    5. Phase Transitions
    6. Cluster Algorithms
    7. Histogram Methods
    8. Renormalization Group
    9. Learning and Optimizing
    10. Parallelization
    11. Non-Equilibrium Systems
    Part II. Molecular Dynamics:
    12. Basic Molecular Dynamics
    13. Optimizing Molecular Dynamics
    14. Dynamics of Composed Particles
    15. Long-Range Potentials
    16. Canonical Ensemble
    17. Inelastic Collisions in Molecular Dynamics
    18. Event-Driven Molecular Dynamics
    19. Non-Spherical Particles
    20. Contact Dynamics
    21. Discrete Fluid Models
    22. Ab-Initio Simulations
    References
    Index.

  • Authors

    Lucas Böttcher, Frankfurt School of Finance and Management and UCLA
    Lucas Böttcher is Assistant Professor of Computational Social Science at Frankfurt School of Finance and Management and Research Scientist at UCLA's Department of Computational Medicine. His research areas include statistical physics, applied mathematics, complex systems science, and computational physics. He is interested in the application of concepts and models from statistical physics to other disciplines, including biology, ecology, and sociology.

    Hans J. Herrmann, CNRS in Paris, the Federal University of Ceará in Brazil and ETH Zürich
    Hans J. Herrmann is Directeur de Recherche at CNRS in Paris, visiting Professor at the Federal University of Ceará in Brazil and Emeritus of ETH Zürich. He is a Guggenheim Fellow (1986), member of the Brazilian Academy of Science, and a Fellow of the American Physical Society. He has been the recipient of numerous prestigious awards including the Max-Planck Prize (2002), the Gentner-Kastler prize (2005), the Aneesur Rahman prize (2018), and an IBM Faculty Award (2009), and he has received an ERC Advanced Grant (2012). He is Managing Editor of International Journal of Modern Physics C and of Granular Matter. He has coauthored over 700 publications and coedited 13 books.

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