Editorial: Data-driven modeling and optimization in fluid dynamics: From physics-based to machine learning approaches
Journal: Frontiers in Physics
•
• Frontiers Media S.A.
• ISSN:
2296-424X
Abstract
Abstract text is not embedded in this discovery record. Please consult the full-text publication via the source link on the right.
Subjects & Keywords
How to Cite this Article
Michel Bergmann, Laurent Cordier, Traian Iliescu (2022). "Editorial: Data-driven modeling and optimization in fluid dynamics: From physics-based to machine learning approaches". Frontiers in Physics. https://doi.org/10.3389/fphy.2022.1072691