Improvement of stochastic simulation of (bio) chemical reactions by combining “sorting direct” and “net-event” methods

Journal Article
Al-Jalal, Ammar M. Tighezza, Ohud A. Almutairi, Nada A. . 2021
Publication Work Type
To be submitted soon
Conference Date
Publication Abstract

The stochastic modeling is physically more realistic, for systems with small number of reacting species, than deterministic modeling. The stochastic approach uses random nature of microscopic molecular collisions to build a probabilistic model of the reaction kinetics. The computational time of the stochastic simulation increase drastically with the number of species and reaction channels. Many methods devoted to the acceleration of stochastic modeling exist. In this work, the effect of combining “sorting direct” and “net-event” methods on the reduction of computational time in stochastic simulation is analyzed on different chemical systems.