Numerical Methods and Machine Learning Techniques for Complex Flows
This special issue belongs to the section "Fluid Science and Technology".
Special Issue Information
Dear Colleagues,
This Special Issue on “Numerical Methods and Machine Learning Techniques for Complex Flows” is intended to gather new developments in the numerical solution of the equations governing complex flows. These numerical methods can range from classical computational fluid dynamics to machine learning techniques.
All researchers working in these areas are encouraged to submit their work. All submissions will be subject to a rapid and thorough review.
Prof. Dr. Luís L. Ferrás
Dr. Alexandre M. Afonso
Dr. Célio Bruno Pinto Fernandes
Guest Editors
Manuscript Submission Information
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Keywords
- Newtonian fluids
- non-Newtonian fluids
- rheology
- numerical methods
- finite element method
- finite differences method
- finite volume method
- spectral methods
- computational fluid dynamics
- machine learning in fluid flows
- simulation
- modeling
- constitutive equations
- analysis
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Published Papers
Appl. Sci. - ISSN 2076-3417