Results | ERC-NEXTFLOW project

Project archive

In this page you can find open-access publications, datasets, media and materials related with the outcomes of the project.

Journal Papers

Conference Contributions

PhD Theses

Dissemination Activities

Seminars and Presentations

Organization of Workshops and Events

Datasets and Codes

Journal Papers

I. Tirelli, M. Alfonso, A. Ianiro, S. Discetti (2025), “Meshless Super-Resolution of Scattered Data via constrained RBFs and KNN-Driven Densification”. Under review, available at https://arxiv.org/abs/2503.04630
Q. L. Li-Hu, P. García Caspueñas. A. Ianiro, S. Discetti (2025), “Model-based time super-sampling of turbulent flow field sequences”. In press on Physical Review Fluids, available at https://arxiv.org/abs/2502.14722v1
J. Chen, M. Raiola, S. Discetti (2025), “An efficient offline sensor placement method for flow estimation“. Experimental Thermal and Fluid Science, 167, 111448.
L. Franceschelli, C.E. Willert, M. Raiola, S. Discetti (2025), “An assessment of event-based imaging velocimetry for efficient estimation of low-dimensional coordinates in turbulent flows“. Experimental Thermal and Fluid Science, 164, 111425.
I. Tirelli, A. Grille Guerra, A. Ianiro, A. Sciacchitano, F. Scarano, S. Discetti (2025), “Full-domain POD modes from PIV asynchronous patches“. Experiments in Fluids, 66, 105.
A. Cuéllar, E. Amico, J. Serpieri, G. Cafiero, W.J. Baars, S. Discetti, A. Ianiro (2025), “Measuring time-resolved heat transfer fluctuations on a heated-thin foil in a turbulent channel airflow“. Measurement Science and Technology, 36, 045303.
J. Chen, M. Raiola, S. Discetti (2025), “Advection-based multiframe iterative correction for pressure estimation from velocity fields”. Experimental Thermal and Fluid Science, 164, 111407.
I. Tirelli, M. Alfonso, A. Ianiro, S. Discetti (2025), “A meshless method to compute the proper orthogonal decomposition and its variants from scattered data“. Proceedings of the Royal Society A, 481: 20240526.
L. Marra, G.Y. Cornejo Maceda, A. Meilán-Vila, V. Guerrero, S. Rashwan, B.R. Noack, S. Discetti, A. Ianiro (2024), “Actuation manifold from snapshot data“. Journal of Fluid Mechanics, 996:A26.
Cuéllar, A. Ianiro, S. Discetti (2024), “Some effects of limited wall-sensor availability on flow estimation with 3D-GANs“. Theoretical and Computational Fluid Dynamics, 38(5), 729–745.
A. Cuéllar, A. Güemes, A. Ianiro, O. Flores, R. Vinuesa, S. Discetti (2024), “Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements“. Journal of Fluid Mechanics, 991:A1.
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

L. Franceschelli, E. Amico, C.E. Willert, M. Raiola, J. Serpieri, G. Cafiero, S. Discetti. Event-based imaging velocimetry for jet flow control. 16th International Symposium on Particle Image Velocimetry, Tokyo, Japan, June 26-28, 2025.
Q. L. Li-Hu, I. Tirelli, M. Mendez, A. Ianiro, S. Discetti. Meshless Galerkin modelling for time super-sampling of particle-based velocimetry. 16th International Symposium on Particle Image Velocimetry, Tokyo, Japan, June 26-28, 2025.
J. Chen, M. Raiola, S. Discetti. Semi-supervised machine learning with overabundant unlabelled samples in data-driven flow estimation. 16th International Symposium on Particle Image Velocimetry, Tokyo, Japan, June 26-28, 2025.
L. Franceschelli, M. Raiola, A. Ianiro, S. Discetti. Identification of an actuation manifold fo ropen-loop control of subsonic jetnoise with acoustic-based excitation. 11th EAA Annual European Conference on Acoustics and Noise Control Engineering, Forum Acusticum / Euronoise 2025, Málaga, Spain, June 23-26, 2025.
Q. L. Li-Hu, G. Y. Cornejo-Maceda, A. Ianiro, S. Discetti. Partitioning Turbulence: A multi-manifold approach for low-dimensional representation of turbulent flows. 21th International Symposium on Flow Visualization, Tokyo, Japan, June 21-25, 2025.
J. Chen, M. Raiola, S. Discetti. Advection-based multiframe iterative correction on PIV fields for improved pressure estimation. 21th International Symposium on Flow Visualization, Tokyo, Japan, June 21-25, 2025.
L. Franceschelli, E. Amico, C.E. Willert, M. Raiola, G. Cafiero, S. Discetti. A POD-based spatial resolution enhancement method for real-time event-based imaging velocimetry. 21st International Symposium on Flow Visualization, Tokyo, Japan, June 21-25, 2025.
G. Y. Cornejo-Maceda, Q. L. Li-Hu, A. Ianiro, S. Discetti. Manifold of clusters for complex flows. 1st International Symposium on AI and Fluid Mechanics, Chania, Greece, May 27-30, 2025.
I. Tirelli, M. Mendez, A. Ianiro, S. Discetti. A meshless method to compute the POD and its variants from scattered data. Joint event “Euromech Colloquium on Data-Driven Fluid Dynamics” & “2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics”, London, England, April 2-4, 2025.
G. Y. Cornejo-Maceda, Q. L. Li-Hu, A. Ianiro, S. Discetti. Manifold of manifolds for simple models of flows under control. Joint event “Euromech Colloquium on Data-Driven Fluid Dynamics” & “2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics”, London, England, April 2-4, 2025.
Q. L. Li-Hu, P. García-Caspueñas, A. Ianiro, S. Discetti. Time super-sampling of turbulent flow fields based on a Galerkin model. 7th International Conference on Turbulence and Interactions, La Palma, Spain, March 30 – April 5, 2025.
A. Cuéllar E. Amico, J. Serpieri, G. Cafiero, W. J. Baars, S. Discetti, A. Ianiro, Time-resolved heat transfer measurements on the wall of a channel flow. 7th International Conference on Turbulence and Interactions, La Palma, Spain, March 30 – April 5, 2025.
S. Discetti. Advancing turbulent flow sensing through data-driven techniques. 7th International Conference on Turbulence and Interactions, La Palma, Spain, March 30 – April 5, 2025.
Q. L. Li-Hu, P. García-Caspueñas, A. Ianiro, S. Discetti. Temporal super-sampling of turbulent flows with Galerkin models. Workshop on Machine Learning for Complex Flows, Madrid, Spain, February 6-7, 2025.
Q. L. Li-Hu, P. García-Caspueñas, A. Ianiro, S. Discetti. Flow dynamics from flow field measurements and a Galerkin Model. 77th Annual Meeting of the Division of Fluid Dynamics, Salt-Lake City, USA, November 24–26, 2024.
I. Tirelli, M. Mendez, A. Ianiro, S. Discetti. A meshless method to compute the POD and its variants from scattered data. 77th Annual Meeting of the Division of Fluid Dynamics, Salt-Lake City, USA, November 24–26, 2024.
L. Franceschelli, M. Raiola, S. Discetti. Open-Loop Control for Jet Mixing Enhancement Using Acoustic Excitation. 77th Annual Meeting of the Division of Fluid Dynamics, Salt-Lake City, USA, November 24–26, 2024.
L. Franceschelli, C. Willert, M. Raiola, S. Discetti. Event-Based Imaging Velocimetry for Dimensionality Reduction in Turbulent Flows. 77th Annual Meeting of the Division of Fluid Dynamics, Salt-Lake City, USA, November 24–26, 2024.
I. Tirelli, M. Alfonso Mendez, A. Ianiro, S. Discetti. A Meshless Method To Compute The POD And Its Variants From Scattered Data. 21st International Symposium on Applications of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, Portugal, July 8-11, 2024.
I. Tirelli, M. Alfonso Mendez, A. Ianiro, S. Discetti. A Full Meshless Algorithm For Super-Resolution In Image Velocimetry Based On KNN-PTV And Constrained RBFs. 21st International Symposium on Applications of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, Portugal, July 8-11, 2024.
I. Tirelli, A. Grille Guerra, A. Ianiro, A. Sciacchitano, F. Scarano, S. Discetti. Global POD Modes From PIV Asynchronous Patches. 21st International Symposium on Applications of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, Portugal, July 8-11, 2024.
J. Chen. Advection-based multiframe iterative correction on PIV fields for improved pressure estimation. 21st International Symposium on Applications of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, Portugal, July 8-11, 2024.
L. Franceschelli, M. Raiola, C. Willert, S. Discetti. An Assessment Of Event-Based Imaging Velocimetry For Dimensionality Reduction In Turbulent Flows. 21st International Symposium on Applications of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, Portugal, July 8-11, 2024.
Q. L. Li-Hu, P. García-Caspueñas, A. Ianiro, S. Discetti. Galerkin Model For Time Super-Sampling Of PIV Measurements. 21st International Symposium on Applications of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, Portugal, July 8-11, 2024.
Q. L. Li-Hu. Temporal enhancement of experimental non-time-resolved measurements. 11th ACM Celebration of Women in Computing – womENcourage, Madrid, Spain, June 26-28, 2024.
A. Cuéllar Martín, A. Güemes, A. Ianiro, Ó. Flores, R. Vinuesa, S. Discetti. Effect of the wall-sensor availability on the quality of the flow field estimation in turbulent wall-bounded flows. EUROMECH Colloquium 631 – Control of skin friction and convective heat transfer in wall-bounded flows, Madrid, Spain, March 18-20, 2024.
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 Mendez, 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
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

PhD Theses

A. Cuéllar, “AI-based sensing of turbulent wall-bounded flows“. Defended on December 9, 2024.
I. Tirelli, “Data-driven enhancement of optical measurement techniques“. Defended on June 9, 2025.
J. Chen, “Complete flow description from combination of incomplete measurements“. (expected date of defense September 2025)
L. Franceschelli, “Active flow control solutions for noise reduction in jet flows“. (expected date of defense September 2026)
Q. L. Li-Hu, “Data-driven modelling of turbulent flows under active flow control”. (expected date of defense March 2027)

Dissemination Activities

S. Discetti. Como construir y liderar un grupo de investigación. X Anniversary of ACES (Association of Spanish Scientists in Sweden), Stockholm, October 7, 2024.
L. Franceschelli, Q. L. Li-Hu. Neuromorphic cameras: what are they and how to use in fluid dynamics? European Researchers’ Night, Madrid, September 27, 2024.
I. Tirelli, S. Discetti, C. Sanmiguel, J. Oterino, J. Alfaro. How to optimize a Formula 1 or airplane with helium bubbles and Artificial Intelligence? European Researchers’ Night, Madrid, September 27, 2024.
S. Discetti. Invited to talk about his ERC experience at the “Italian Researchers in Spain Day“, organized in Madrid by the Italian Embassy. May 23, 2024.
L. Marra, A. Rodríguez Asensio, S. Discetti. Aprende a controlar la aerodinámica. Teatro y divulgación científica: navegando los retos de una Europa verde, Madrid, Spain, Abril 6, 2024.
S. Discetti, L. Franceschelli, P. García-Caspueñas, A. Ianiro, Q. L. 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. ” Advancing turbulent flow sensing through data-driven techniques”. Keynote lecture at 7th International Conference on Turbulence and Interactions, La Palma, Canary Islands, Spain, March 30 – April 4, 2025
S. Discetti. “Data-driven methods to enhance PIV measurements“. Lecture Series on Particle Image Velocimetry, von Karman Institute for Fluid Dynamics, December 4, 2024
S. Discetti. “Volumetric PIV methods”. Lecture Series on Particle Image Velocimetry, von Karman Institute for Fluid Dynamics, December 3, 2024
S. Discetti. “Self-tunable MPC and automatic coordinate discovery for flow control”. PhD Seminar at Politecnico di Torino (Italy, online), October 25, 2024
S. Discetti. “Self-tunable MPC and automatic coordinate discovery for flow control“. Flow Seminar, Stockholm, October 7, 2024
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

Organization of Workshops and Events

Particle Image Velocimetry, von Karman Institute Lecture Series. Belgium, December 2-5, 2024
ERCOFTAC Spring Festival 2024. Universidad Carlos III de Madrid, Spain, May 16-17, 2024
EUROMECH Colloquium 631 – Control of Skin Friction and Convective Heat Transfer in Wall-bounded Flows. Universidad Carlos III de Madrid, Spain, March 18-20, 2024
Fundamentals and recent advances in Particle Image Velocimetry and Lagrangian Particle Tracking, von Karman Institute Lecture Series. Belgium, November 15-18, 2021

Datasets and Codes

Q. L. Li-Hu, P. García Caspueñas. A. Ianiro, S. Discetti (2025), “Model-based time super-sampling of turbulent flow field sequences”
https://zenodo.org/records/15646432
Q. L. Li-Hu, P. García Caspueñas. A. Ianiro, S. Discetti (2025), “Model-based time super-sampling of turbulent flow field sequences”
https://github.com/erc-nextflow/GalerkinModel
J. Chen, M. Raiola, S. Discetti (2025), “An efficient offline sensor placement method for flow estimation”
https://doi.org/10.5281/zenodo.15114116
J. Chen, M. Raiola, S. Discetti (2025), “An efficient offline sensor placement method for flow estimation”
https://github.com/erc-nextflow/sensor_placement_V1
A. Cuéllar, E. Amico, J. Serpieri, G. Cafiero, W.J. Baars, S. Discetti, A. Ianiro (2025), “Measuring time-resolved heat transfer fluctuations on a heated-thin foil in a turbulent channel airflow”
https://zenodo.org/records/14998599
L. Franceschelli, C.E. Willert, M. Raiola, S. Discetti (2025), “An assessment of event-based imaging velocimetry for efficient estimation of low-dimensional coordinates in turbulent flows”
https://zenodo.org/uploads/14673928
J. Chen, M. Raiola, S. Discetti (2025) “Advection-based multiframe iterative correction for pressure estimation from velocity fields”
https://doi.org/10.5281/zenodo.14752830
J. Chen, M. Raiola, S. Discetti (2025) “Advection-based multiframe iterative correction for pressure estimation from velocity fields”
https://github.com/erc-nextflow/AMIC
I. Tirelli, M. Alfonso, A. Ianiro, S. Discetti (2025) “A meshless method to compute the proper orthogonal decomposition and its variants from scattered data”
https://zenodo.org/records/14281902 (data set)
I. Tirelli, M. Alfonso, A. Ianiro, S. Discetti (2025) “A meshless method to compute the proper orthogonal decomposition and its variants from scattered data”
https://zenodo.org/records/14281708 (codes)
L. Marra, G.Y. Cornejo Maceda, A. Meilán-Vila, V. Guerrero, S. Rashwan, B.R. Noack, S. Discetti, A. Ianiro (2024), “Actuation manifold from snapshot data”
https://zenodo.org/records/12802192
L. Marra, G.Y. Cornejo Maceda, A. Meilán-Vila, V. Guerrero, S. Rashwan, B.R. Noack, S. Discetti, A. Ianiro (2024), “Actuation manifold from snapshot data”
https://github.com/Lmarra1/Actuation-manifold-from-snapshot-data
A. Cuéllar, A. Ianiro, S.Discetti (2024), “Some effects of limited wall-sensor availability on flow estimation with 3D-GANs”
https://doi.org/10.5281/zenodo.13587745
A. Cuéllar, A. Ianiro, S.Discetti (2024), “Some effects of limited wall-sensor availability on flow estimation with 3D-GANs”
https://github.com/erc-nextflow/3D-GAN-limited-sensors
A. Cuéllar, A. Güemes, A. Ianiro, O. Flores, R. Vinuesa, S. Discetti (2024), “Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements”
https://doi.org/10.5281/zenodo.11090713
A. Cuéllar, A. Güemes, A. Ianiro, O. Flores, R. Vinuesa, S. Discetti (2024), “Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements”
https://github.com/erc-nextflow/3D-GAN
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

FEBRUARY 2025

Event-Based Imaging Velocimetry vs traditional Particle Image Velocimetry

L. Franceschelli, C.E. Willert, M. Raiola, S. Discetti (2025), “An assessment of event-based imaging velocimetry for efficient estimation of low-dimensional coordinates in turbulent flows“. Experimental Thermal and Fluid Science, 164, 111425.

FEBRUARY 2025

Introducing the AMIC technique: advection-based multiframe iterative correction

J. Chen, M. Raiola, S. Discetti (2025) “Advection-based multiframe iterative correction for pressure estimation from velocity fields”. Experimental Thermal and Fluid Science, 164, 111407.

JANUARY 2025

Publication featured in Editor’s Choice collection

Our 2023 publication “A simple trick to improve the accuracy of PIV/PTV data,” was selected for the Editor’s Choice collection in the journal Experimental Thermal and Fluid Science!

JANUARY 2025

Project PI appointed as a Visiting Professor at the von Karman Institute

Stefano Discetti joins VKI as a Visiting Professor, developing new VKI lecture series and joining the team of lecturers within the VKI Research Master Program.

DECEMBER 2024

Sucessful defense of the 1st PhD thesis of the project

Antonio Cuéllar Martín successfully defended his thesis AI-based sensing of turbulent wall-bounded flows, receiving the highest grade “Sobresaliente cum Laude”.

December 2024

Particle Image Velocimetry 2024, von Karman Institute Lecture Series and Events

“Volumetric PIV methods”, by S. Discetti
“Data-driven methods to enhance PIV measurements”, 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 2024

Actuation manifold from snapshot data

L. Marra, G.Y. Cornejo Maceda, A. Meilán-Vila, V. Guerrero, S. Rashwan, B.R. Noack, S. Discetti, A. Ianiro (2024), “Actuation manifold from snapshot data“. Journal of Fluid Mechanics, 996:A26.

SEPTEMBER 2024

Limited wall-sensor availability affects flow estimation with 3D-GANs

A. Cuéllar, A. Ianiro, S. Discetti (2024), “Some effects of limited wall-sensor availability on flow estimation with 3D-GANs“. Theoretical and Computational Fluid Dynamics.

AUGUST 2024

3D-GANS for 3D channel flow estimation from wall measurements

A. Cuéllar, A. Güemes, A. Ianiro, O. Flores, R. Vinuesa, S. Discetti (2024), “Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements“. Journal of Fluid Mechanics, 991:A1.

May 2024

ERCOFTAC Spring Festival 2024

Hosting the ERCOFTAC Spring Festival 2024 in Universidad Carlos III de Madrid. Co-organized by the European Research Community On Flow, Turbulence and Combustion.

APRIL 2024

Blind denoising procedure based on deep autoencoders (AE)

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.

March 2024

EUROMECH colloquium 631 “Control of skin friction and convective heat transfer in wall-bounded flows”

Organization of the colloquium in Universidad Carlos III de Madrid. Co-sponsored by the ERC Starting Grant GloWing (grant n. 803082) and Proof of Concept Grant DeLaH (grant n. 101138326).

february 2024

Complete flow characterization using PINNs and field data

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.

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

“Data-driven methods to enhance the resolution of Particle Image Velocimetry”, by S. Discetti

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

Acknowledgments :

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon H2020 research and innovation programme (grant agreement No 949085)