This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

Fluid dynamics problems are characterized by being multidimensional and nonlinear.
Therefore, experiments and numerical simulations are complex and time-consuming …

Synthetic jets are useful fluid devices with several industrial applications. In this study, we
use the flow fields generated by two synchronously operating synthetic jets and simulated …

This work presents a new application of higher order dynamic mode decomposition
(HODMD) for the analysis of reactive flows. Due to the high complexity of the data analysed …

This study presents a novel application of data-driven resolvent analysis algorithm for flow
control. The objective is to identify key coherent structures connected to regions of the flow …

Accurately predicting three-dimensional power distribution within a reactor core during
reactivity transients is crucial for optimizing reactor operational control. This paper proposes …

The buzz evolution process of an axisymmetric supersonic inlet was investigated
numerically and analyzed using the high-order dynamic mode decomposition (HODMD) …

This paper presents in-flight measurements of the interaction of the wing wake of a stalled
Slingsby T67 Firefly light aircraft with the aircraft tailplane. Tailplane data was recorded by a …

The domain of aeronautical engineering and aero-engine engineering has witnessed
considerable interest in the application of machine learning (ML) and deep learning (DL) …