ArticleScientific reports2024
Mathematical modeling of allelopathic stimulatory phytoplankton species using fractal-fractional derivatives.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Fractional-order analysis and optimal control of the NERA model: stability, sensitivity, and numerical validation.Scientific reports · 2026Article
- A fractional model based on caputo derivative for tuberculosis transmission using real data from Kenya.Scientific reports · 2025Article
- Mathematical modeling of tuberculosis using Caputo fractional derivative: a comparative analysis with real data.Scientific reports · 2025Article
- Analysis of time-fractional cancer-tumor immunotherapy model using modified He-Laplace algorithm.Scientific reports · 2025Article
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5 authors.
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Abstract
In the current study, we employ the novel fractal-fractional operator in the Atangana-Baleanu sense to investigate the dynamics of an interacting phytoplankton species model. Initially, we utilize the Picard-Lindelöf theorem to validate the uniqueness and existence of solutions for the model. We then explore equilibrium points within the phytoplankton model and conduct Hyers-Ulam stability analysis. Additionally, we present a numerical scheme utilizing the Newton polynomial to validate our analytical findings. Numerical simulations illustrate the dynamical behavior of the model across various fractal and fractional parameter values, visualized through graphical representations. Our simulations reveal that the stability of equilibrium points is not significantly impacted with the long-term memory effect, which is characterized by fractal-fractional order values. However, an increase in fractal-fractional parameters accelerates the convergence of solutions to their intended equilibrium states.
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