Enhancement of flying wing aerodynamics in crossflow at high angle of attack using dual synthetic jets

H Wang, Z Luo, X Deng, Y Zhou, J Gong - Aerospace Science and …, 2025 - Elsevier
To address the asymmetric flow field of the flying wing under cross-flow conditions at high
angles of attack, dual synthetic jet actuators (DSJAs) are positioned at the leading edge of …

Reinforcement twinning: From digital twins to model-based reinforcement learning

L Schena, PA Marques, R Poletti, S Ahizi… - Journal of …, 2024 - Elsevier
The concept of digital twins promises to revolutionize engineering by offering new avenues
for optimization, control, and predictive maintenance. We propose a novel framework for …

Optimization of Second-Order Transport Models for Transition-Continuum Flows

M Kryger, JF MacArt - arXiv preprint arXiv:2411.13515, 2024 - arxiv.org
Modeling transition-continuum hypersonic flows poses significant challenges due to
thermodynamic nonequilibrium and the associated breakdown of the continuum …

Active Control of Turbulent Airfoil Flows Using Adjoint-Based Deep Learning

X Liu, T Hickling, JF MacArt - AIAA SCITECH 2025 Forum, 2025 - arc.aiaa.org
Using a deep learning PDE augmentation method (DPM), we train neural-network active
flow controllers to optimize the lift-to-drag ratio for turbulent airfoil flows at Reynolds number …

Adjoint-Based Optimization of Second-Order Continuum Model for Momentum and Heat Transport in Transition-Continuum Flows

MP Kryger, JF MacArt - AIAA SCITECH 2025 Forum, 2025 - arc.aiaa.org
Modeling transition-continuum hypersonic flows poses significant challenges due to
thermodynamic nonequilibrium and the associated breakdown of the continuum …

Machine Learning-Augmented Kinetics for Shock-Tube Ignition Delay Using a Variational Approach

JF MacArt - AIAA SCITECH 2025 Forum, 2025 - arc.aiaa.org
Data assimilation methods for scientific computing improve the accuracy of predictive
calculations, reduce their cost, or both by incorporating higher-fidelity and/or experimental …

Active Control of Laminar and Turbulent Flows Using Adjoint-Based Machine Learning

X Liu - 2024 - search.proquest.com
Active control of fluid dynamics in engineering applications is valuable but challenging, as
traditional optimization methods struggle with the complex, high-dimensional nature of these …