Molecular dynamics for polymeric fluids using discontinuous potentials
Journal of Computational Physics
The direct simulation Monte Carlo method
Computers in Physics
Parallel Computing
Introduction to process-oriented simulation and CSIM (tutorial session)
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Algorithms for particle-field simulations with collisions
Journal of Computational Physics
Monte Carlo algorithms for complex surface reaction mechanisms: efficiency and accuracy
Journal of Computational Physics
Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
Dynamic structure multiparadigm modeling and simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Neighbor list collision-driven molecular dynamics simulation for nonspherical hard particles.
Journal of Computational Physics
Queue-based method for efficient simulation of biological self-assembly systems
Journal of Computational Physics
Journal of Computational Physics
Stochastic Event-Driven Molecular Dynamics
Journal of Computational Physics
A First-Passage Kinetic Monte Carlo algorithm for complex diffusion-reaction systems
Journal of Computational Physics
Journal of Computational Physics
Flexible single molecule simulation of reaction-diffusion processes
Journal of Computational Physics
Reversible simulations of elastic collisions
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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We present, in a unifying way, the main components of three asynchronous event-driven algorithms for simulating physical systems of interacting particles. The first example, hard-particle molecular dynamics, is well known. We also present a recently developed diffusion kinetic Monte Carlo algorithm, as well as a novel stochastic molecular-dynamics algorithm that builds on the Direct Simulation Monte Carlo. We explain how to effectively combine asynchronous event-driven with classical time-driven or with synchronous event-driven handling. Finally, we discuss some promises and challenges for event-driven simulation of realistic physical systems.