most citedJAX-based differentiable fluid dynamics on GPU and end-to-end optimization

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physics.flu-dyn20241 cited

JAX-based differentiable fluid dynamics on GPU and end-to-end optimization

Wenkang Wang, Xuanwei Zhang, Deniz Bezgin +3

This project aims to advance differentiable fluid dynamics for hypersonic coupled flow over porous media, demonstrating the potential of automatic differentiation (AD)-based optimi…

physics.flu-dyn2023

Modeling of Coupled Turbulent Channel Porous Media Flow through a Deep Autoencoder Echo State Network Framework

Xu Chu, Sandeep Pandey, Yanchao Liu +1

In this study, we propose a novel approach, namely the combined Convolutional Deep Autoencoder Echo State Network (CDAE ESN) model, for the analysis and forecasting of dynamics and…

physics.flu-dyn2023

An investigation of information flux between turbulent boundary layer and porous medium

Xu Chu, Wenkang Wang, Bernhard Weigand

The interaction between boundary layer turbulence and a porous layer is the cornerstone to the interface engineering. In this study, the spatial resolved transfer entropy is used t…

physics.flu-dyn2023

DNS of the Early Phase of Oblique Droplet Impact on Thin Films with FS3D

Jonathan Lukas Stober, Johanna Potyka, Matthias Ibach +2

Spray impacts occur in several environmental and technical applications. The impact of droplets at different angles onto walls covered with a thin film of the same liquid can be re…

physics.flu-dyn2023

Simulation and analytical modeling of high-speed droplet impact onto a surface

Yanchao Liu, Xu Chu, Guang Yang +1

The fluid dynamics of liquid droplet impact on surfaces hold significant relevance to various industrial applications. However, high impact velocities introduce compressible effect…