🚨 NOVO ARTIGO PUBLICADO NA TCAM! 🔬📚
É com grande satisfação que anunciamos a publicação do artigo “Stochastic Simulation of Fractional Dynamics“ na prestigiada revista Trends in Computational and Applied Mathematics (TCAM).
📌 Pequeno Resumo:
Theoretical formalisms based on fractional differential equations are increasingly being used to model complex kinetic processes, as they can accurately capture memory effects and temporal heterogeneity. This study proposes a stochastic simulation methodology for processes governed by such equations. The numerical implementation uses a discrete-time Monte Carlo algorithm to model the evolution of an irreversible unimolecular reaction by integrating Mittag-Leffler statistics directly into the dynamics of microscopic events. The study concludes that the proposed method is robust and consistently recovers the classical limit, thereby establishing a rigorous link between fractional chemical kinetics and computational simulation. Consequently, this approach constitutes a powerful predictive framework for chemical systems in complex media.
