Stochastic, spatial reaction-diffusion simulations have been widely used in systems biology and computational neuroscience. However, the increasing scale and complexity of models and morphologies have ...

Reaction-diffusion systems represent a fundamental mathematical framework to model the interplay between local reactive processes and diffusive transport of substances. These systems have wide-ranging ...

This repository simulates a two-component reaction-diffusion system, commonly used to model pattern formation in biological and chemical systems. The simulation employs both Fourier and Chebyshev ...

GPU based Kinetic Monte Carloi (KMC) simulation package for Sichuan University (based on migration-coalescence diffusion model for objects migration-coalescence diffusion-evolutions in materials).

Abstract: In this work, we report on developing 1D reaction-diffusion solver to understand the kinetics of p-type doping formation in CdTe absorbers and to shine some light on underlying causes of ...

Simulating the evolution of a chemically reacting system using the bimolecular propensity function, as is done by the stochastic simulation algorithm and its reaction-diffusion extension, entails ...

This paper develops two local mesh-free methods for designing stencil weights and spatial discretization, respectively, for parabolic partial differential equations (PDEs) of ...