[HTML][HTML] Improving aircraft performance using machine learning: A review
This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
Segmentation of high-speed flow fields using physics-informed clustering
The advent of data-based modeling has provided new methods and algorithms for analyzing
the complex flow fields in high-speed combustion applications. These techniques can be …
the complex flow fields in high-speed combustion applications. These techniques can be …
[PDF][PDF] Reduced-order modeling of turbulent reacting flows using data-driven approaches
K Zdybał - 2023 - researchgate.net
Numerical simulation of turbulent flames is a computationally challenging task. This remains
true even with the current advances in numerical algorithms and highperformance …
true even with the current advances in numerical algorithms and highperformance …
A review: Applications of machine learning and deep learning in aerospace engineering and aero-engine engineering
W Wang, J Ma - Advances in Engineering Innovation, 2024 - ewadirect.com
The domain of aeronautical engineering and aero-engine engineering has witnessed
considerable interest in the application of machine learning (ML) and deep learning (DL) …
considerable interest in the application of machine learning (ML) and deep learning (DL) …
[PDF][PDF] Dimensionality reduction of chemical kinetic mechanisms using data-driven clustering techniques for MILD Combustion
P Pagani - 2024 - dial.uclouvain.be
The current global energy landscape is marked by volatility and complexity. The ongoing
conflicts, especially in Ukraine and the Middle East, compounded by disruptions in natural …
conflicts, especially in Ukraine and the Middle East, compounded by disruptions in natural …