Includes bibliographical references (pages 232-251) and index.
Contents:
Ab-initio simulations. Random numbers -- Random-geometrical models -- Equilibrium systems -- Monte-Carlo methods -- Phase transitions -- Cluster algorithms -- Histogram methods -- Renormalization group -- Learning and optimizing -- Parallelization -- Non-equilibrium systems -- Part II. Molecular dynamics: -- Basic molecular dynamics -- Optimizing molecular dynamics -- Dynamics of composed particles -- Long-range potentials -- Canonical ensemble -- Inelastic collisions in molecular dynamics -- Event-driven molecular dynamics -- Non-spherical particles -- Contact dynamics -- Discrete fluid models -- Ab-initio simulations.
Summary:
"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. " -- publisher
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.