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Particle-based simulation: An algorithmic perspective
Authors:Marco Saraniti  Shela Aboud  Julien Branlard  Stephen M. Goodnick
Affiliation:(1) ECE Department, Illinois Institute of Technology, 3301 S. Dearborn St., Chicago, IL 60616, USA;(2) EE Department, Arizona State University, Tempe, AZ 85287, USA
Abstract:This article reviews some of the latest advances of the algorithmic aspects of particle-based methods for the simulation of both solid-state devices and biological systems. After a brief historical introduction, a discussion will be offered about the recent evolution of numerical methods used by both Full-Band Ensemble Monte Carlo (EMC) and Molecular Dynamics (MD) algorithms. A discussion of some relevant applications of both simulative approaches is accompanied by a critical analysis of the main limitations of the methods. Several needed improvements are discussed as well, and the potential of the algorithms for modeling systems of higher complexity.
Keywords:Monte Carlo  Molecular dynamics  Particle-based simulation
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