Next-generation flow diagnostics for control

Project Information

NEXTFLOW

Grant agreement ID: 949085

DOI 10.3030/949085

EC signature date 27 August 2020

Start date 1 January 2021

End date 31 December 2025

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 1 499 062,00

EU contribution € 1 499 062,00

Coordinated by

UNIVERSIDAD CARLOS III DE MADRID
Spain

Publications

Peer reviewed articles (7)

Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes

Author(s): Junwei Chen, Marco Raiola, Stefano Discetti
Published in: Experimental Thermal and Fluid Science, 2022, ISSN 0894-1777
Publisher: Elsevier BV
DOI: 10.1016/j.expthermflusci.2022.110647

A simple trick to improve the accuracy of PIV/PTV data

Author(s): Iacopo Tirelli, Andrea Ianiro, Stefano Discetti
Published in: Experimental Thermal and Fluid Science, Issue 145, 2023, Page(s) 110872, ISSN 0894-1777
Publisher: Elsevier BV
DOI: 10.1016/j.expthermflusci.2023.110872

Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks

Author(s): Álvaro Moreno Soto, Alejandro Güemes, Stefano Discetti
Published in: Computer Methods in Applied Mechanics and Engineering, 2023, ISSN 0045-7825
Publisher: Elsevier BV
DOI: 10.1016/j.cma.2023.116652

Genetically-inspired convective heat transfer enhancement in a turbulent boundary layer

Author(s): Rodrigo Castellanos, Andrea Ianiro, Stefano Discetti
Published in: Applied Thermal Engineering, 2023, ISSN 1359-4311
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.applthermaleng.2023.120621

Machine learning for flow field measurements: a perspective

Author(s): Stefano Discetti, Yingzheng Liu
Published in: Measurement Science and Technology, 2023, Page(s) 021001, ISSN 0957-0233
Publisher: Institute of Physics and the Physical Society
DOI: 10.1088/1361-6501/ac9991

Super-resolution generative adversarial networks of randomly-seeded fields

Author(s): Alejandro Güemes Jiménez, Carlos Sanmiguel Vila, Stefano Discetti
Published in: Nature Machine Intelligence, Issue 4, 2022, Page(s) 1165-1173, ISSN 2522-5839
Publisher: Nature Portfolio
DOI: 10.1038/s42256-022-00572-7

An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification

Author(s): Iacopo Tirelli, Andrea Ianiro, Stefano Discetti
Published in: Experimental Thermal and Fluid Science, 2022, ISSN 0894-1777
Publisher: Elsevier BV
DOI: 10.1016/j.expthermflusci.2022.110756

Conference proceedings (4)

Assessing Super-Resolution GANs For Randomly-Seeded Particle Fields

Author(s): A. Güemes; C. Sanmiguel Vila; S. Discetti
Published in: 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics, Issue 1, 2022
Publisher: Lisbon Simposia
DOI: 10.55037/lxlaser.20th.205

Pressure from data-driven-estimated velocity fields using snapshot PIV and fast probes

Author(s): Marco Raiola, Junwei Chen, Stefano Discetti
Published in: 14th International Symposium on Particle Image Velocimetry, 2021
Publisher: Illinois Tech
DOI: 10.18409/ispiv.v1i1.157

High-Resolution PIV With Uncertainty Estimation With KNN

Author(s): I. Tirelli; A. Ianiro; S. Discetti
Published in: 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics, Issue 1, 2022
Publisher: Lisbon Simposia
DOI: 10.55037/lxlaser.20th.68

GANs-based PIV resolution enhancement without the need of high-resolution input

Author(s): Alejandro Güemes, Carlos Sanmiguel Vila, Stefano Discetti
Published in: 14th International Symposium on Particle Image Velocimetry, 2021
Publisher: Illinois Tech
DOI: 10.18409/ispiv.v1i1.160