JOURNAL ARTICLE

On the closed form exact solitary wave solutions for the time-fractional order nonlinear unsteady convection diffusion system with unique-existence analysis.

  • Published In: International Journal of Geometric Methods in Modern Physics, 2025, v. 22, n. 14. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Shahzad, Muhammad; Anjum, Rukhshanda; Ahmed, Nauman; Baber, Muhammad Zafarullah; Shahid, Naveed 3 of 3

Abstract

In this paper, the time-fractional two-dimensional unsteady convection diffusion system governed by nonlinear partial differential equations captured the time evaluation of disturbance and addressing modeling real-world phenomena such as turbulence, traffic flow, heat and fluid transport, and gas dynamics. Fractional derivatives are introduced to enable a more generalized representation of diffusion behaviors. To establish solution the unique existence, we apply a fixed-point strategy via Lipschitz continuity. By employing the generalized exponential rational function method, we derive exact solitary wave solutions in the forms of dark, singular, complex, combo, trigonometric, and rational waves. Furthermore, 3D plots illustrate solution dynamics under various parameter choices providing deep exploration into the system's behavior and demonstrating the applicability of fractional order models in advanced technological and scientific contexts. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Geometric Methods in Modern Physics. 2025/12, Vol. 22, Issue 14, p1
  • Document Type:Article
  • Subject Area:Power and Energy
  • Publication Date:2025
  • ISSN:0219-8878
  • DOI:10.1142/S0219887825501282
  • Accession Number:188900944
  • Copyright Statement:Copyright of International Journal of Geometric Methods in Modern Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.