Alberto Montefusco, Luzie Helfmann, Toluwani Okunola, Stefanie Winkelmann, Christof Schütte
This article addresses reaction networks in which spatial and stochastic effects are of crucial importance. For such systems, particle-based models allow us to describe all microscopic details with high accuracy. However, they suffer from computational inefficiency if particle numbers and density get too large. Alternative coarse-grained-resolution models reduce computational effort tremendously, e.g., by replacing the particle distribution by a continuous concentration field governed by reaction-diffusion PDEs...
January 12, 2024: Mathematical Biosciences