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Paper planes and jet secrets on Madrid Science and Innovation Week 2024

Paper planes and jet secrets on Madrid Science and Innovation Week 2024

by odriva | Nov 15, 2024 | Sin categoría

The NEXTFLOW team participated in this year’s Madrid Science and Innovation Week, held on November, with 2 interactive activities, targetting audiences varying from kids to adults: Learn how to fly paper planes, coordinated by Iacopo Tirelli and Stefano Discetti...
New publication: Actuation manifold from snapshot data

New publication: Actuation manifold from snapshot data

by odriva | Oct 9, 2024 | Sin categoría

Our latest publication “Actuation manifold from snapshot data”, we introduce a novel a low-dimensional manifold from time-resolving flow data for a large range of operating conditions (control laws). Published as Open Access in the Journal of Fluid...
Participation in European Researchers’ Night 2024

Participation in European Researchers’ Night 2024

by odriva | Oct 3, 2024 | Sin categoría

The European Reasearchers’ Night is a great opportunity to open our lab to the general public allowing them to witness first-hand cutting-edge research and ignite their curiosity. In this year’s version, the NEXTFLOW team organised two interactive...
Some effects of limited wall-sensor availability on flow estimation with 3D-GANs

Some effects of limited wall-sensor availability on flow estimation with 3D-GANs

by odriva | Sep 13, 2024 | Sin categoría

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...
New collaboration with DLR Institute of Propulsion Technology

New collaboration with DLR Institute of Propulsion Technology

by odriva | Sep 5, 2024 | Sin categoría

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...
Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements

Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements

by odriva | Aug 28, 2024 | Sin categoría

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,...
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