Numerical Methods in Fluid Dynamics
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 2025 | Viewed by 33
Special Issue Editor
Interests: computational fluid dynamics; artificial intelligence; deep learning; numerical models
Special Issue Information
Dear Colleagues,
The field of fluid dynamics plays a crucial role in engineering and applied sciences, with applications spanning aerospace, automotive design, environmental studies, and biomedical engineering. The increasing complexity of fluid flow phenomena and the need for high-accuracy solutions have driven the development of advanced numerical methods. This Special Issue aims to present cutting-edge research on computational techniques for solving problems in fluid dynamics.
We welcome contributions on novel algorithms, computational frameworks, and numerical strategies that enhance accuracy, efficiency, and robustness in fluid flow simulations. Topics of interest include advances in finite element, finite volume, and spectral methods, as well as innovative approaches involving high-performance computing, turbulence modeling, and machine learning-assisted simulations. Special attention will be given to multiphase flows, compressible and incompressible fluid dynamics, and emerging trends that push the boundaries of computational fluid mechanics. Researchers are invited to submit original research articles and reviews that highlight recent progress and future directions in the field.
Prof. Dr. Koldo Portal-Porras
Guest Editor
Manuscript Submission Information
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Keywords
- numerical methods
- fluid dynamics
- high-performance computing
- machine learning
- deep learning
- artificial neural networks
- design optimization
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