Computational Fluid Dynamics, 3rd Edition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "C2: Dynamical Systems".
Deadline for manuscript submissions: 28 February 2026
Special Issue Editor
Interests: computational fluid dynamics; heat transfer in porous media; multiphysics system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computational fluid dynamics (CFD) continues to revolutionize our ability to model, analyze, and optimize fluid systems in both the fundamental and applied domains. Simultaneously, rapid advances in computational power, numerical algorithms, and data-driven modeling techniques are transforming CFD from a traditional predictive tool into a comprehensive platform for scientific discovery, engineering innovation, and multi-physics integration.
This Special Issue aims to present a curated collection of the latest advances, methodologies, and high-impact applications in CFD. It will serve as a platform for researchers and engineers to showcase cutting-edge developments, from high-fidelity solvers and turbulence modeling to GPU-accelerated computations, digital twins, and emerging paradigms such as AI-assisted simulations and quantum-enhanced solvers.
Topics of interest include, but are not limited to, the following:
- Advances in numerical methods for compressible/incompressible, transitional and turbulent, and multiphase flows;
- High-order schemes, adaptive mesh refinement, and immersed boundary methods;
- CFD in modern hardware architectures (GPU, multi-core CPUs, and cloud platforms);
- Model reduction techniques and hybrid physics–AI approaches;
- The integration of machine learning for closure modeling, flow prediction, or optimization;
- Verification, validation, and uncertainty quantification in CFD;
- Quantum algorithms and future-forward concepts in CFD;
- Industrial and interdisciplinary applications—aerospace, automotive, biomedical, energy systems, climate modeling, etc.
We especially encourage contributions that provide innovative mathematical strategies, demonstrate cross-disciplinary impact, or address critical challenges such as scalability, physical accuracy, and robust validation.
Dr. Mostafa Safdari Shadloo
Guest Editor
Manuscript Submission Information
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Keywords
- computational fluid dynamics
- numerical methods
- turbulence
- machine learning
- high-performance computing
- GPU acceleration
- quantum CFD
- validation and verification
- multiphase flows
- applied fluid mechanics
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Related Special Issues
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