NEXTFLOW at the 18th European Turbulence Conference

In a recent publication, we showed how we can employ GANs for 3D flow reconstructions, overcoming certain limitations of planar estimators. In this work, the 3D-GAN we introduced is challenged to perform the same task with less information available. This problem...

The research visit of our PhD student Luca Franceschelli at DLR Institute of Propulsion Technology in Cologne consolidated the collaboration between our teams. Luca worked closely with Dr. Chris Willert, Head of the Engine Measurement Systems Department.The purpose of...

Generative adversarial networks (GANs) are among the most promising methodologies, offering more accurate estimations and better perceptual quality. But can they be employed to reconstruct an entire three-dimensional field? With 3D-GANS, a generative AI methodology,...