Theoretical and Computational Fluid Dynamics
Theoretical and Computational Fluid Dynamics provides a forum for the cross-fertilization of ideas, tools and techniques across all disciplines in which fluid flow plays a role, such as: aeronautical sciences, geophysical and environmental sciences, life sciences and materials sciences.
Of particular interest are papers that unravel complex flow physics through combined computational and experimental efforts or through a fundamental theoretical analysis that complements computational work.
The journal publishes scholarly research papers, invited review articles, brief communications, letters and comments on previously published papers. It addresses scientists, engineers and applied mathematicians working in all fields concerned with fundamental aspects of fluid flow.
Prediction of Reynolds stresses in high-Mach-number turbulent boundary layers using physics-informed machine learning
- Journal Title
- Theoretical and Computational Fluid Dynamics
- Volume 1 / 1989 - Volume 32 / 2018
- Print ISSN
- Online ISSN
- Springer Berlin Heidelberg
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