Project archive
In this page you can find open-access publications, datasets, media and materials related with the outcomes of the project.
Journal papers
- F. Gu, S. Discetti, Y. Liu, Z. Cao, D. Peng (2024), “Denoising image-based experimental data without clean targets based on deep autoencoders“. Experimental Thermal and Fluid Science, 156, 111195.
- A. Moreno Soto, A. Güemes, S. Discetti (2024) “Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks“. Computer Methods in Applied Mechanics and Engineering, 419, 116652.
- R. Castellanos, A. Ianiro, S. Discetti (2023) “Genetically-inspired convective heat transfer enhancement in a turbulent boundary layer.” Applied Thermal Engineering, 230, 120621.
- I. Tirelli, A. Ianiro, S. Discetti (2023) “A simple trick to improve the accuracy of PIV/PTV data“. Experimental Thermal and Fluid Science, 145, 110872.
- A. Güemes, C. Sanmiguel Vila, S. Discetti (2022). “Super-resolution generative adversarial networks of randomly-seeded fields“. Nature Machine Intelligence, v. 4, 1165–1173.
- S. Discetti, Y. Liu (2022). “Machine learning for flow field measurements: a perspective“. Measurement Science and Technology, Volume 34, 021001.
- I. Tirelli, A. Ianiro, S. Discetti (2022). “An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification”. Experimental Thermal and Fluid Science, 110756.
- J. Chen, M. Raiola, S. Discetti (2022). “Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes”. Experimental Thermal and Fluid Science, 110647.
- D.K. Iakovidis, M. Ooi, Y.C. Kuang, S. Damidenko, A. Shestakov, V. Sinistin, M. Henry, A. Sciacchitano, A. Discetti, S. Donati, M. Norgia, A. Menychtas, I. Maglogiannis, S.C. Wriessnegger, L.A. Barradas Chacon, G. Dimas, D. Filos, A.H. Aletras, J. Töger, F. Dong, S. Ren, A. Uhl, J. Paziewski, J. Geng, F. Fioranelli, R.M. Narayanan, C. Fernandez, C. Stiller, K. Malamousi, S. Kamnis, K. Delibasis, D. Wang, J. Zhang, R.X. Gao (2022). “Roadmap on Signal Processing for Next Generation Measurement Systems”. Measurement Science and Technology, 33, 012002.
Conference Contributions
- J. Chen, M. Raiola, S. Discetti. Machine learning with overabundant unlabeled samples in data-driven pressure estimation. 16th International Conference on Fluid Control, Measurements, and Visualization, Beijing, China, November 26-30 2023.
- J. Chen, S. Discetti, M. Raiola. Offline optimal sensor positioning for time-resolved flow field estimation with point probes. 18th European Turbulence Conference, Valencia, Spain, September 4-6 2023.
- A. Cuellar Martín, A. Güemes, A. Ianiro, O. Flores, R. Vinuesa, S. Discetti. From wall measurements to three-dimensional turbulent-flow fields. 18th European Turbulence Conference, Valencia, Spain, September 4-6 2023.
- L. Franceschelli, M. Raiola, S. Discetti. Jet-Flow feature estimation with snapshot PIV and fast probes. 18th European Turbulence Conference, Valencia, Spain, September 4-6 2023.
- A. Cuellar Martín, A. Güemes, A. Ianiro, R. Vinuesa, O. Flores, S. Discetti. From wall measurements to three-dimensional turbulent-flow fields. iTi Conference on Turbulence X, Bertinoro, Italy, July 24-26 2023.
- L. Franceschelli, M. Raiola, S. Discetti. Jet-flow feature estimation with snapshot PIV and fast probes. iTi Conference on Turbulence X, Bertinoro, Italy, July 24-26 2023.
- R. Castellanos, I. Robledo, J. Alfaro, A. Ianiro, S. Discetti. Convective heat transfer enhancement in turbulent boundary layers with linear genetic algorithms. iTi Conference on Turbulence X, Bertinoro, Italy, July 24-26 2023.
- J. Chen, S. Discetti, M. Raiola. Semi-Supervised Machine Learning in Data-Driven Flow Measurement. 20th International Symposium on Flow Visualization, Delft, Netherlands, July 10-13 2023.
- I. Tirelli, M. Alfonso Menden, A. Ianiro, S. Discetti. A combination of KNN-PTV and physics-constrained RBFs for super-resolution in image velocimetry. 20th International Symposium on Flow Visualization, Delft, Netherlands, July 10-13 2023.
- A. Cuellar Martín, L. Franceschelli, C. Marquez García, S. Discetti, A. Ianiro. Experimental Investigation of turbulent swirling jets. 2nd Spanish Fluid Mechanics Conference, Barcelona, Spain, July 2-5 2023.
- L. Marra, A. Meilán Vila, S. Discetti. Automatic Parameter Selection for Model Predictive Control for Fluid Flows. 2nd Spanish Fluid Mechanics Conference, Barcelona, Spain, July 2-5 2023.
- J. Chen, M. Raiola, S. Discetti. Offline optimal sensor positioning for time-resolved flow field estimation with point probes. 15th International Symposium on Particle Image Velocimetry (ISPIV 2023), San Diego, USA, June 18-21 2023.
- L. Franceschelli, M. Raiola, S. Discetti. Jet flow feature estimation with snapshot PIV and fast probes. 15th International Symposium on Particle Image Velocimetry (ISPIV 2023), San Diego, USA, June 18-21 2023.
- I. Tirelli, A. Solera-Rico, A. Güemes, C. Sanmiguel Vila, A. Ianiro, S. Discetti. Assessment of data-driven 3D PTV techniques. 15th International Symposium on Particle Image Velocimetry (ISPIV 2023), San Diego, USA, June 18-21 2023.
- I. Tirelli, M. A. Mendez, A. Ianiro, S. Discetti. A combination of KNN-PTV and physics-constrained RBFs for super-resolution in image velocimetry. 15th International Symposium on Particle Image Velocimetry (ISPIV 2023), San Diego, USA, June 18-21 2023.
- A. Moreno Soto, A. Güemes, S. Discetti. Complete Flow Characterization From Snapshot Piv, Fast Probes And Physics-Informed Neural Networks. 75th Annual Meeting of the Division of Fluid Dynamics, Indianapolis (USA), November 20–22, 2022
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A. Cuellar Martín, A. Güemes, A. Ianiro, O. Flores, R. Vinuesa, S. Discetti. Generative Adversarial Networks for the estimation of 3D turbulent fields with wall-measurements. 1st International Conference on Mathematical Modelling in Mechanics and Engineering Mathematical Institute SANU, Belgrade, Serbia, September 8-10 2022
- A. Moreno Soto, A. Güemes, S. Discetti. Complete Flow Characterization From Snapshot Piv, Fast Probes And Physics-Informed Neural Networks. 12th International Symposium on Turbulence and Shear Flow Phenomena (TSFP12), Osaka, Japan (Online), July 19-22, 2022
- J. Chen, M. Raiola, S. Discetti. Data-driven estimated velocity and pressure fields using snapshot PIV and fast probes. 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, July 11-14, 2022
- P. García-Caspueñas, S. Discetti. System identification for enhanced flow description from multi-pulse PIV. 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, July 11-14, 2022
- I. Tirelli, A. Ianiro, S. Discetti. High-resolution PIV with uncertainty estimation with KNN. 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, July 11-14, 2022
- A. Güemes, C. Sanmiguel Vila, S. Discetti. Assessing super-resolution GANs for randomly-seeded particle fields. 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, July 11-14, 2022
- A. Cuéllar Martín, A. Güemes, A. Ianiro, O. Flores, R. Vinuesa, S. Discetti. From wall measurements to three-dimensional turbulent-flow fields via GANs. 1st Spanish Fluid Mechanics Conference, June 19-22, 2022
- E. Gil, M. García-Villalba, S. Discetti. Flow-field estimation of jet flow from point sensors. 1st Spanish Fluid Mechanics Conference, June 19-22, 2022
- A. Güemes, A. Martín, R. Castellanos, O. Flores, S. Discetti. Active drag reduction in minimal flow units via deep reinforcement learning. 1st Spanish Fluid Mechanics Conference, June 19-22, 2022
- Á. Moreno Soto. Complete flow characterization and reconstruction via physics-informed neural networks. Poster in Lecture Series on “Fundamentals and Recent Advances in Particle Image Velocimetry and Lagrangian Particle Tracking”, hosted by the von Karman Institute of Fluid Dynamics, Belgium, November 15-18, 2021
- J. Chen, M. Raiola, S. Discetti. Data-driven-estimated pressure from snapshot PIV and fast probes. The 19th International Symposium on Flow Visualization (ISFV-19), Shanghai Jiao Tong University, Shanghai, China, September 14-16, 2021
- I. Tirelli, A. Ianiro, S. Discetti. High-resolution PIV with uncertainty estimation with KNN. The 19th International Symposium on Flow Visualization (ISFV-19), Shanghai Jiao Tong University, Shanghai, China, September 14-16, 2021
- S. Discetti. “Data-driven methods to enhance the resolution of Particle Image Velocimetry”. Invited Keynote Lecture at 19th International Symposium on Flow Visualization (ISFV-19), Shanghai Jiao Tong University, Shanghai, China, September 14-16, 2021
- A. Güemes, C. Sanmiguel Vila, S. Discetti. GANs-based PIV resolution enhancement without the need of high-resolution input. 14th International Symposium on Particle Image Velocimetry – ISPIV 2021 Chicago, USA, August 1-4, 2021
- M. Raiola, J. Chen, S. Discetti. Pressure from data-driven-estimated velocity fields using snapshot PIV and fast probes. 14th International Symposium on Particle Image Velocimetry – ISPIV 2021 Chicago, USA, August 1-4, 2021
Dissemination Activities
- S. Discetti, L. Franceschelli, P. García-Caspueñas, A. Ianiro, Q. Li Hu. Desvelando los secretos de la fluidodinámica. Madrid Fair of Science, March 24, 2023
- I. Tirelli, P. García-Caspueñas, S. Discetti. ¡Aprende a volar con aviones de papel! Semana de la Ciencia y la Innovación 2022.
- A. Solera Rico, C. Sanmiguel Vila, M. Á. Gómez López, R. Castellanos, S. Discetti. Beyond emissions: How to reduce the environmental impact of aircraft? The European Researchers’ Night, Madrid, September 30, 2022.
- S. Discetti. Inteligencia artificial y aerodinámica: aprender a medir y controlar los fenómenos naturales. The European Researchers’ Night, Madrid, September 30, 2022.
- S. Discetti. Interview of Fundación Madri+d. Ciencia de Excelencia en la Comunidad de Madrid. Talento Investigador.
- S. Discetti, ¿Cómo mides lo que no ves? Descubriendo la aerodinámica experimental. The European Researchers’ Night. September 24, 2021. Online.
Seminars and Presentations
- S. Discetti. “Data-driven techniques to boost the spatial and temporal resolution of PIV”, IBiM Seminar series (online), May 23, 2023
- S. Discetti. “PIV & data-driven methods: recent developments and opportunities”, Tianjin University (online), March 23, 2023
- S. Discetti. “PIV y métodos data-driven: desarrollos recientes y oportunidades”. Universidad del Pais Vasco, Vitoria, January 20, 2023
- Á. Moreno Soto. “Complete Flow Characterization and Reconstruction via Physics-Informed Neural Networks”, UC3M El Almendro Seminar, December 17, 2021
- S. Discetti. “Statistical methods to enhance PIV measurements”, Fundamentals and recent advances in Particle Image Velocimetry and Lagrangian Particle Tracking, von Karman Institute Lecture Series and Events, November 15-18, 2021
- S. Discetti, “Pushing the limits of PIV with data-driven techniques”. Invited talk at Aeroseminar of the Aerodynamics group of TU DELFT. June 25, 2021
- S. Discetti, UC3M Aerospace ERC Starting Grant Panel, “ERC NEXTFLOW – Next-generation flow diagnostics for control”, Seminar Series on Aerospace Science and Technology. UC3M Aerospace Engineering Department. March 23, 2021
Datasets & Codes
- F. Gu, S. Discetti, Y. Liu, Z. Cao, D. Peng (2024). Dataset of “Denoising image-based experimental data without clean targets based on deep autoencoders” https://doi.org/10.5281/zenodo.10938427
- F. Gu, S. Discetti, Y. Liu, Z. Cao, D. Peng (2024), Code of “Denoising image-based experimental data without clean targets based on deep autoencoders”. https://github.com/GuFeng-95/Denoising-Autoencoder/
- A. Moreno Soto, A. Güemes, S. Discetti (2024). Dataset of “Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks”. https://doi.org/10.5281/zenodo.10214004
- A. Moreno Soto, A. Güemes, S. Discetti (2024). Code of “Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks”. https://github.com/AlvaroMS90/Complete-flow-characterization-from-snapshot-PIV-fast-probes-and-physics-informed-neural-networks
- R. Castellanos, A. Ianiro, S. Discetti (2023). Dataset of “Genetically-inspired convective heat transfer enhancement in a turbulent boundary layer”. https://doi.org/10.5281/zenodo.7859268
- A. Güemes, C. Sanmiguel Vila, S. Discetti (2022). Dataset of “Super-resolution generative adversarial networks of randomly seeded fields”. https://zenodo.org/record/7191210
- I. Tirelli, A. Ianiro, S. Discetti (2022). Dataset of “An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification”. https://zenodo.org/record/6922577
- I. Tirelli, A. Ianiro, S. Discetti (2022). KNN-PTV code. https://github.com/erc-nextflow/KNN-PTV
- J. Chen, M. Raiola, S. Discetti (2021). Dataset of “Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes”. https://zenodo.org/record/6473075
- J. Chen, M. Raiola, S. Discetti (2021). Code for data-driven pressure estimation with EPOD. https://github.com/erc-nextflow/Data-driven-pressure-estimation-with-EPOD
PROJECT TIMELINE
July 2023
Convective heat transfer in a TBL enhanced by LGAC published
R. Castellanos, A. Ianiro, S. Discetti (2023) “Genetically-inspired convective heat transfer enhancement in a turbulent boundary layer.” Applied Thermal Engineering, 230, 120621.
May 2023
Project PI appointed deputy director for strategy and promotion of the Department of Aerospace Engineering.
Congratulations to Stefano Discetti who was appointed as deputy director for strategy and promotion of the Department of Aerospace Engineering! Official announcement here.
December 2022
RaSeedGAN on Nature Machine Intelligence
A. Güemes, C. Sanmiguel Vila, S. Discetti (2022). “Super-resolution generative adversarial networks of randomly-seeded fields“. Nature Machine Intelligence, 4, 1165–1173.
August 2022
KNN-PTV published
june 2022
PI Stefano Discetti Interview at Fundación Madri+d
I. Tirelli, A. Ianiro, S. Discetti (2022). “An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification”. Experimental Thermal and Fluid Science, 110756.
april 2022
Pressure from data-driven time-resolved PIV
J. Chen, M. Raiola, S. Discetti (2022). “Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes”. Experimental Thermal and Fluid Science, 110647.
april 2022
Awards of Excellence 2022, Social Council of the Universidad Carlos III de Madrid (UC3M)
The 14th Edition Awards of Excellence 2022, the Social Council of the Universidad Carlos III de Madrid (UC3M), has awarded our PI S. Discetti in the category of Young Doctoral Research Staff. Congratulations!
february 2022
NEXTFLOW & ZARATHUSTRA joint workshop – 23 February 2022
A joint workshop of the ERC Starting Grant projects NEXTFLOW (Next-generation flow diagnostics for control) and ZARATHUSTRA (Revolutionizing advanced electrodeless plasma thrusters for space transportation). The workshop brought together the working teams of the two projects to discuss on common interests and foster collaboration.
november 2021
Fundamentals and recent advances in Particle Image Velocimetry and Lagrangian Particle Tracking, von Karman Institute Lecture Series and Events
- “Statistical methods to enhance PIV measurements”, by S. Discetti
- “Tomographic Particle Image Velocimetry”, by S. Discetti
The Lecture series directors were Prof. Stefano Discetti, from Universidad Carlos III de Madrid, Spain and Prof. Miguel Mendez from the von Karman Institute, Belgium.
september 2021
Invited Keynote Lecture at 19th International Symposium on Flow Visualization ISFV 19
june 2021
Aeroseminar in TU Delft
“Pushing the limits of PIV with data-driven techniques”, by S. Discetti
March 2021
Seminars on Aerospace Science and Technology in UC3M
Presentation of the ERC Starting Grant “NEXTFLOW”, by Stefano Discetti
January 2021
Kick-off
Begining of the project NEXTFLOW