5 papers
Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI
Oliver Welin Odeback, Arivazhagan Geetha Balasubramanian, Jonas Schollenberger +9
4D Flow Magnetic Resonance Imaging (4D Flow MRI) enables non-invasive quantification of blood flow and hemodynamic parameters. However, its clinical application is limited by low s…
Polyelectrolyte adsorption at the solid-liquid interface favors receding contact line instability
Léa Delance, Diego DÃaz, Arivazhagan G. Balasubramanian +3
Controlling the motion of non-Newtonian drops on surfaces is crucial for applications ranging from inkjet printing to biomedical devices and food processing. While the macroscopic…
Fully convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers
L. Guastoni, A. G. Balasubramanian, F. Foroozan +6
Fully-convolutional neural networks (FCN) were proven to be effective for predicting the instantaneous state of a fully-developed turbulent flow at different wall-normal locations…
Bursting bubble in an elasto-viscoplastic medium
A. G. Balasubramanian, V. Sanjay, M. Jalaal +2
A gas bubble sitting at a liquid-gas interface can burst following the rupture of the thin liquid film separating it from the ambient, owing to the large surface energy of the resu…
Prediction of flow and elastic stresses in a viscoelastic turbulent channel flow using convolutional neural networks
Arivazhagan G. Balasubramanian, Ricardo Vinuesa, Outi Tammisola
Neural-network models have been employed to predict the instantaneous flow close to the wall in a viscoelastic turbulent channel flow. Numerical simulation data at the wall is util…