edited by Dietrich Stauffer (Cologne University, Germany)

Contents (31k)
Preface (20k)
Chapter 1: Introduction
Chapter 1.1: Introduction (173k)
Chapter 1.2: Interaction energy (155k)
Chapter 1.3: Classification of the EPEFs (119k)
Chapter 1.4: Representation of the EPEFs (113k)
Chapter 2: Empirical Potential Energy Functions
Chapter 2.1: Group-I potentials (335k)
Chapter 2.2: Group-II potentials (203k)
Chapter 2.3: Group-III potentials (284k)
Chapter 2.4: Group-IV potentials (211k)
Chapter 2.5: Group-V potentials (205k)

The ninth volume of Annual Reviews of Computational Physics has as a special feature a comprehensive compendium of interatomic potentials as used for materials properties. Other articles deal with simulations of magnetic nanostructures, improved Monte Carlo methods (e.g. for nucleation studies in Ising models), fluid dynamics with large mean free paths, the growing field of “sociophysics,” and teaching of undergraduate computational physics (including an introduction to Java).

• Empirical Potential Energy Functions Used in the Simulations of Materials Properties (™ Erkoç)
• Thermally Activated Reversal in Magnetic Nanostructures (U Nowak)
• A Tutorial on Advanced Dynamic Monte Carlo Methods for Systems with Discrete State Spaces (M A Novotny)
• Beyond Navier–Stokes: Burnett Equations for Flow Simulations in the Continuum–Transition Regimes (R K Agarwal et al.)
• Social Impact Models of Opinion Dynamics (J A Holyst et al.)
• Teaching Computational Physics to Undergraduates (J Tobochnik & H Gould)