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 …
Modeling transition-continuum hypersonic flows poses significant challenges due to thermodynamic nonequilibrium and the associated breakdown of the continuum …
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 …
Modeling transition-continuum hypersonic flows poses significant challenges due to thermodynamic nonequilibrium and the associated breakdown of the continuum …
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 fluid dynamics in engineering applications is valuable but challenging, as traditional optimization methods struggle with the complex, high-dimensional nature of these …