Computational statistical physics. (English) Zbl 1473.82001
Cambridge: Cambridge University Press (ISBN 978-1-108-84142-9/hbk; 978-1-108-88231-6/ebook). xiv, 258 p. (2021).
Publisher’s description: 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.
MSC:
82-01 | Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistical mechanics |
82B20 | Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics |
82C20 | Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics |
82B41 | Random walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanics |
82C41 | Dynamics of random walks, random surfaces, lattice animals, etc. in time-dependent statistical mechanics |
82B43 | Percolation |
82C43 | Time-dependent percolation in statistical mechanics |
82D40 | Statistical mechanics of magnetic materials |
82M31 | Monte Carlo methods applied to problems in statistical mechanics |
82M37 | Computational molecular dynamics in statistical mechanics |
82M99 | Basic methods in statistical mechanics |