Applied Mathematics in Fluid Mechanics and Flows

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 1266

Special Issue Editors


E-Mail Website
Guest Editor
Department of Thermal and Fluid Engineering, Polytechnic University of Cartagena, Campus Muralla del Mar, 30203 Cartagena, Spain
Interests: heat transfer; combustion; thermodynamic; fluid mechanic; energy; numerical simulation

E-Mail
Guest Editor
Department of Mechanical Engineering, Materials and Manufacturing, Faculty of Industrial Engineering, Politechnic University of Cartagena, 30202 Cartagena, Spain
Interests: numerical method; dynamic system; heat transfer; fluid mechanic; energy; numerical simulation; nondimensionalization; computational mechanics

Special Issue Information

Dear Colleagues,

This Special Issue welcomes high-quality original research and comprehensive reviews focused on the fundamental physics and governing mechanisms underlying fluid dynamic processes across disciplines and scales. Particular emphasis is placed on studies that deepen our understanding of fluid behavior through theoretical, numerical, experimental, or hybrid approaches.

Topics of interest include, but are not limited to, the following: analytical and approximate solutions of the Navier–Stokes and Euler equations; rotating hydromagnetic plasma flows; hypersonic stagnation flows; geophysical and astrophysical rotating flows; thermophoretic transport phenomena; pulsatile biofluid dynamics; magnetic squeeze film lubrication; flows through porous media; Casson fluid and radiative convective flows.

In addition, this Special Issue seeks contributions in micro- and nanofluidics, including capillarity, slip-flow regimes, and lab-on-chip devices, as well as advanced topics in lubrication theory with relevance to mechanical and biomedical systems.

Emerging and interdisciplinary themes are strongly encouraged, including fluid–structure interaction (FSI), fluid–plant interaction in environmental systems, ocean–atmosphere coupling in climate dynamics, and reactive flows in catalytic, electrochemical, or biological domains. Studies involving meteorological modeling and oceanographic circulations using large-eddy simulations, turbulence-resolving schemes, or multiscale modeling are highly relevant.

Moreover, the Special Issue is open to works on dimensional analysis and similarity theory in fluid mechanics, with applications ranging from aerodynamics to biomechanics. Research on laminar–turbulent transition, flow control, and energy-efficient transport mechanisms is also welcome.

Papers employing modern computational strategies such as reduced-order modeling, physics-informed neural networks (PINNs), deep learning, and hybrid numerical–data-driven frameworks for simulating complex fluid systems are particularly appreciated.

Through this collection, we aim to promote interdisciplinary discussion and innovation in the modeling, analysis, and simulation of fluid flows relevant to natural phenomena, industrial technologies, and future scientific challenges.

Keywords: fluid–structure interaction (FSI), micro- and nanofluidics, thermal radiation and convection, porous media flows, plasma and magnetohydrodynamics (MHD), Navier–Stokes equations, computational fluid dynamics (CFD), physics-informed neural networks (PINNs), geophysical and environmental fluid dynamics

Prof. Dr. Joaquín Zueco
Dr. Joaquín Solano
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Navier–Stokes equations
  • Euler equations
  • rotating flows
  • magnetohydrodynamics (MHD)
  • thermophoretic transport
  • hypersonic flows
  • pulsatile flow dynamics
  • thermal radiation effects
  • advection–diffusion processes
  • geophysical fluid dynamics
  • ocean–atmosphere interaction
  • meteorological fluid flows
  • biofluid mechanics
  • micro- and nanofluidics
  • lubrication theory
  • porous media flows
  • plant–fluid interaction
  • magnetic squeeze film lubrication
  • computational fluid dynamics (CFD)
  • deep learning in fluid mechanics
  • physics-informed neural networks (PINNs)
  • nondimensional analysis
  • reduced-order modeling
  • high-fidelity simulations
  • stability and bifurcation analysis

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

10 pages, 284 KB  
Article
Improved Approximation and Theory of Solutions to Squeezing of Fluid Between Two Plates
by Anjum Mustafa Khan Abbasi and Christopher C. Tisdell
Mathematics 2026, 14(4), 707; https://doi.org/10.3390/math14040707 - 17 Feb 2026
Viewed by 313
Abstract
Despite the significant interest from research communities in understanding the squeezing flow of fluid between two plates, important qualitative and quantitative questions regarding solutions to these squeezing flow models still remain unanswered, including existence, uniqueness, location, approximation, and convergence. Thus, the purpose of [...] Read more.
Despite the significant interest from research communities in understanding the squeezing flow of fluid between two plates, important qualitative and quantitative questions regarding solutions to these squeezing flow models still remain unanswered, including existence, uniqueness, location, approximation, and convergence. Thus, the purpose of the present paper is to construct a firm mathematical basis that establishes the above knowledge for the squeezing flow model and its boundary value problem. Full article
(This article belongs to the Special Issue Applied Mathematics in Fluid Mechanics and Flows)
Show Figures

Figure 1

17 pages, 2767 KB  
Article
Implicit Neural Representation for Dense Event-Based Imaging Velocimetry
by Jia Ai, Junjie Li, Zuobing Chen and Yong Lee
Mathematics 2026, 14(3), 572; https://doi.org/10.3390/math14030572 - 5 Feb 2026
Viewed by 551
Abstract
This paper presents an Implicit Neural Representation method for Event-Based Imaging Velocimetry (INR-VG) to reconstruct dense velocity fields from sparse event streams. The core idea is to learn a mapping (multilayer perceptron) from spatial coordinates to flow velocities, [...] Read more.
This paper presents an Implicit Neural Representation method for Event-Based Imaging Velocimetry (INR-VG) to reconstruct dense velocity fields from sparse event streams. The core idea is to learn a mapping (multilayer perceptron) from spatial coordinates to flow velocities, v(x)=f(x;θ), which thereby enables dense velocity measurements at any desired spatial resolution. The neural network is optimized through test-time optimization by minimizing the alignment error between warped voxel grids of events. Extensive evaluations on synthetic datasets and real-world flows demonstrate that INR-VG achieves high accuracy (errors as low as 0.05 px/ms) and maintains robustness in challenging conditions where existing methods typically fail, including low event rates and large displacements, significantly outperforming optical-flow-based baselines. To the best of our knowledge, this work represents a successful application of implicit neural representations to event-based imaging velocimetry (EBIV), establishing a new paradigm for dense and robust event-based flow measurement. The implementation and experimental details are publicly available to support reproducibility and future research. Full article
(This article belongs to the Special Issue Applied Mathematics in Fluid Mechanics and Flows)
Show Figures

Figure 1

Back to TopTop