Progress and prospects of artificial intelligence development and applications in supersonic flow and combustion

J Le, M Yang, M Guo, Y Tian, H Zhang - Progress in Aerospace Sciences, 2024 - Elsevier
Due to the significant improvement in computing power and the rapid advancement of data
processing technologies, artificial intelligence (AI) has introduced new tools and …

Predictive modeling of flow characteristics in supersonic separators using machine learning

A Bahadornia, M Mojaddam - Fuel, 2024 - Elsevier
In the pursuit of cleaner energy sources, pre-processing fuel streams is crucial before
distribution. Challenges arise during this process, leading to operational issues and …

A physics-constrained and data-driven method for modeling supersonic flow

T Zhao, J An, Y Xu, G He, F Qin - Physics of Fluids, 2024 - pubs.aip.org
A fast solution of supersonic flow is one of the crucial challenges in engineering applications
of supersonic flight. This article introduces a deep learning framework, the supersonic …

Multi-objective optimization design of scramjet nozzle based on grey wolf optimization algorithm and kernel extreme learning machine surrogate model

S Tong, M Guo, Y Tian, J Le, D Zhang, H Zhang - Physics of Fluids, 2024 - pubs.aip.org
This study delves into the parametric design of the scramjet nozzles, utilizing the Catmull–
Rom curve, to meet the high-performance design requirements. It establishes a high …

Prediction of Flow Field Over Airfoils Based on Transformer Neural Network

J Zhou, R Zhang, L Chen - International Journal of Computational …, 2023 - Taylor & Francis
Airfoil flow field data acquisition is pivotal to the study of aerodynamics, traditionally relying
on time-consuming computational fluid dynamics simulations or expensive wind tunnel tests …