| Convolutional-network models to predict wall-bounded turbulence from wall quantities L Guastoni, A Güemes, A Ianiro, S Discetti, P Schlatter, H Azizpour, ... Journal of Fluid Mechanics 928, 2021 | 169 | 2021 |
| From coarse wall measurements to turbulent velocity fields through deep learning A Güemes, S Discetti, A Ianiro, B Sirmacek, H Azizpour, R Vinuesa Physics of Fluids 33 (7), 075121, 2021 | 111 | 2021 |
| Sensing the turbulent large-scale motions with their wall signature A Güemes, S Discetti, A Ianiro Physics of Fluids 31 (12), 2019 | 42 | 2019 |
| Super-resolution generative adversarial networks of randomly-seeded fields A Güemes, C Sanmiguel Vila, S Discetti Nature Machine Intelligence 4 (12), 1165-1173, 2022 | 37* | 2022 |
| On the uncertainty of boundary-layer parameters from Ensemble PTV data R Castellanos, CS Vila, A Güemes, S Discetti Measurement Science and Technology 32 (8), 084006, 2021 | 11 | 2021 |
| Flow organization in the wake of a rib in a turbulent boundary layer with pressure gradient A Güemes, CS Vila, R Örlü, R Vinuesa, P Schlatter, A Ianiro, S Discetti Experimental Thermal and Fluid Science 108, 115-124, 2019 | 11 | 2019 |
| Predicting the near-wall region of turbulence through convolutional neural networks AG Balasubramanian, L Guastoni, A Güemes, A Ianiro, S Discetti, ... arXiv preprint arXiv:2107.07340, 2021 | 5 | 2021 |
| Experimental assessment of large-scale motions in turbulent boundary layers A Guemes, A Ianiro, S Discetti | 5 | 2019 |
| Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks ÁM Soto, A Güemes, S Discetti Computer Methods in Applied Mechanics and Engineering 419, 116652, 2024 | 4 | 2024 |
| Experimental Assessment of RANS Models for Wind Load Estimation over Solar-Panel Arrays A Güemes, P Fajardo, M Raiola Applied Sciences 11 (6), 2496, 2021 | 4 | 2021 |
| Non-intrusive sensing in turbulent boundary layers via deep fully-convolutional neural networks L Guastoni, AG Balasubramanian, A Güemes, A Ianiro, S Discetti, ... arXiv preprint arXiv:2208.06024, 2022 | 3 | 2022 |
| Systems and methods for predicting flight data JL Leones, NP Ortiz, PC Alvarez, PCA Esteban, RAT Diaz, A Guemes US Patent App. 17/399,816, 2022 | 1 | 2022 |
| GANs-based PIV resolution enhancement without the need of high-resolution input A Güemes, CS Vila, S Discetti 14th International Symposium on Particle Image Velocimetry 1 (1), 2021 | 1 | 2021 |
| Data-driven methodology for uncertainty quantification of aircraft trajectory predictions A Muñoz Hernández, M Polaina, A Güemes, MF Soler Arnedo, ... 2021 IEEE/AIAA 40th Digital Avionics Systems Conference: San Antonio, TX …, 2021 | 1 | 2021 |
| Real-time aircraft flight delay prediction AM Hernandez, MP Morales, AG Jiménez US Patent App. 17/664,187, 2023 | | 2023 |
| Systems and methods of updating flight plans based on regulated areas PC Alvarez, JL Leones, NP Ortiz, AG Jimenez US Patent App. 18/301,457, 2023 | | 2023 |
| Dynamic selection of an aeronautical data provider P Costas, JL Leones, AG Jimenez US Patent App. 17/679,853, 2023 | | 2023 |
| Synchronized measurement of instantaneous convective heat flux and velocity fields in wall-bounded flows F Foroozan, A Güemes, M Raiola, R Castellanos, S Discetti, A Ianiro Measurement Science and Technology 34 (12), 125301, 2023 | | 2023 |
| Fully-convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers L Guastoni, A Geetha Balasubramanian, A Güemes, A Ianiro, S Discetti, ... | | 2023 |
| Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks A Moreno Soto, A Güemes, S Discetti Bulletin of the American Physical Society, 2022 | | 2022 |
STEFANO DISCETTIUniversidad Carlos III de Madrid在 ing.uc3m.es 的电子邮件经过验证
