ArticleScientific reports2025
Analytical solutions and chaotic insights into the Hirota-Maccari system.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Applications of lump, breather, rogue, and various nonlinear waves in the modeling of blood vessels: analysis of the nonlinear Murray equation with heterogeneous wall properties.Cognitive neurodynamics · 2026Article
- Analytical construction of lump, rogue, and multi-wave structures in a nonlinear neuron membrane model via bilinear neural network approach.Theory in biosciences = Theorie in den Biowissenschaften · 2026Article
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2 authors.
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Abstract
This article discusses the (2 + 1)-dimensional Hirota-Maccari (HM) model, a particular type of Schrödinger equation that addresses various nonlinear phenomena in physics, optics, fluid dynamics, plasma physics, and other scientific areas. It uses a variable relation to transform the system into an ordinary form and builds different soliton solutions using the [Formula: see text]-expansion and generalized [Formula: see text]-expansion approaches. We create double periodic waves, dark solitons, bright solitons, anti-compacton solitons, bright dark breather waves, periodic multiple waves, multiple dark-bright breather waves, compactons, and [Formula: see text]-shaped periodic waves using the above methods plus a soft computing package. We numerically simulate some results in 3D with density, 2D, and contour formats. Additionally, we converted the dynamic planner structure of the governing model using the Galilean transformation. We then studied the chaotic properties of this model using various chaos-detecting tools, including fractal dimensions, basins of attraction, recurrence maps, strange attractors, multistability, and return maps. The significance of this study lies in its ability to bridge the theoretical understanding of the governing model with potential applications in diverse nonlinear physical systems. To our knowledge, these two methods have not yet yielded any solutions to the underlying model.
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