Groundbreaking tools and models to reduce air pollution in urban areas

Informations projet

MODELAIR

N° de convention de subvention: 101072559

DOI

10.3030/101072559

Date de signature de la CE 6 Juillet 2022

Date de début 1 Janvier 2023

Date de fin 31 Decembre 2026

Financé au titre de

• Marie Skłodowska-Curie Actions (MSCA)

Coût total

Aucune donnée

Contribution de l’UE

€ 2 685 400,80

Coordonné par

UNIVERSIDAD POLITECNICA DE MADRID
Spain

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (5)

Performance of new tools for dimensionality reduction and flow patterns identifica-tion in urban flows.

Performance of new tools for dimensionality reduction and flow patterns identifica-tion in urban flows.Lead: UPM and ULB

Review and results of activities in TC2.
Review and results of activities in TC3.

Review and results of activities in TC3.Lead: ARUP

Comparison of numerical and experimental databases and validation of CFD solvers.

Comparison of numerical and experimental databases and validation of CFD solv-ers.Lead: KTH and UoB

Review and results of activities in TC1.

Review and results of activities in TC1.LEAD: Air quality consultants

Other (3)

Numerical databases (velocity fields).
Project Newsletter Interim

Project Newsletter.Lead: UPM

Experimental databases (velocity fields).

Websites, patent fillings, videos etc. (1)

Website

Web portal

Publications

Peer reviewed articles (15)

A review of ABL modelling in RANS simulations: Inlet conditions and turbulence models

Auteurs: Emanuele Bombardi, Alessandro Gambale, Alessandro Parente
Publié dans: Building and Environment, Numéro 283, 2025, ISSN 0360-1323
Éditeur: Elsevier BV
DOI: 10.1016/J.BUILDENV.2025.113251

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements

Auteurs: Ashton Hetherington; Javier López Leonés; Soledad Le Clainche
Publié dans: Expert Systems with Applications, 2025
Éditeur: ELSEVIER
DOI: 10.2139/SSRN.5142022

Eigenhearts: Cardiac diseases classification using eigenfaces approach

Auteurs: Nourelhouda Groun; María Villalba-Orero; Lucia Casado-Martin; Enrique Lara Pezzi; Eusebio Valero; Soledad Le Clainche; Jesús Garicano-Mena
Publié dans: Computers in Biology and Medicine, 2025
Éditeur: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2411.16227

A clustering-based domain decomposition framework for reduced-order modeling: Application to atmospheric boundary layer flows

Auteurs: Haoyan Li; Alberto Procacci; Sampath Kumar Raghunathan Srikumar; Gabriele Mosca; Alessandro Gambale; Alessandro Parente
Publié dans: Physics of Fluids, 2025
Éditeur: AIP PUBLISHING
DOI: 10.1063/5.0281638

Generalization capabilities and robustness of hybrid models grounded in physics compared to purely deep learning models

Auteurs: R. Abadía-Heredia; A. Corrochano; M. Lopez-Martin; S. Le Clainche
Publié dans: Physics of Fluids, 2025
Éditeur: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2404.17884

Pressure as boundary curvature: A variational approach to potential flows

Auteurs: M. Sanchis-Agudo, R. Vinuesa
Publié dans: Physics of Fluids, Numéro 37, 2025, ISSN 1070-6631
Éditeur: AIP Publishing
DOI: 10.1063/5.0286411

Easy attention: A simple attention mechanism for temporal predictions with transformers

Auteurs: Marcial Sanchis-Agudo, Yuning Wang, Roger Arnau, Luca Guastoni, Jasmin Lim, Karthik Duraisamy, Ricardo Vinuesa
Publié dans: APL Computational Physics, Numéro 1, 2025, ISSN 3066-0017
Éditeur: AIP Publishing
DOI: 10.1063/5.0284085

A new method based on physical patterns to impute aerobiological datasets

Auteurs: Sofia Tagliaferro, Adrián Corrochano, Pierpaolo Marchetti, Alessandro Marcon, Soledad Le Clainche
Publié dans: PLOS ONE, Numéro 19, 2024, ISSN 1932-6203
Éditeur: Public Library of Science (PLoS)
DOI: 10.1371/journal.pone.0314005

Indirectly Parameterized Concrete Autoencoders

Auteurs: Alfred Nilsson; Klas Wijk; Sai Bharath Chandra Gutha; Erik Englesson; Alexandra Hotti; Carlo Saccardi; Oskar Kviman; Jens Lagergren; Ricardo Vinuesa; Hossein Azizpour
Publié dans: CoRR, 2024
Éditeur: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2403.00563

A low-cost singular value decomposition-based data assimilation technique for analysis of heterogeneous combustion data

Auteurs: P. Pillai; A. I. Hetherington; L. Saavedra; S. Le Clainche
Publié dans: Physics of Fluids, 2025
Éditeur: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2503.24064

Flow Control with Data-Driven Approaches

Auteurs: Corrochano, A.; Le Clainche, S.
Publié dans: 9th European Congress on Computational Methods in Applied Sciences and Engineering, 2024
Éditeur: ECCOMAS
DOI: 10.23967/ECCOMAS.2024.085

Inverse Problems with Diffusion Models: A MAP Estimation Perspective

Auteurs: Sai Bharath Chandra Gutha; Ricardo Vinuesa; Hossein Azizpour
Publié dans: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Éditeur: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2407.20784

On deep-learning-based closures for algebraic surrogate models of turbulent flows

Auteurs: Benet Eiximeno; Marcial Sanchis-Agudo; Arnau Miró; Ivette Rodriguez; Ricardo Vinuesa; Oriol Lehmkuhl
Publié dans: Journal of Fluid Mechanics, 2025
Éditeur: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2412.04239

Evaluating Forecast Divergence in Fluid Dynamics: A Metric for Autoregressive Models in the Absence of True Solution Data

Auteurs: Abadía-Heredia, R.; Lopez-Martín, M.; Le Clainche, S.
Publié dans: 9th European Congress on Computational Methods in Applied Sciences and Engineering, 2024
Éditeur: ECCOMAS
DOI: 10.23967/ECCOMAS.2024.086

Low-cost singular value decomposition with optimal sensor placement

Auteurs: Ashton Hetherington; Soledad Le Clainche
Publié dans: Physics of Fluids, 2025
Éditeur: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2311.09791

Conference proceedings (6)

Diffusion models for optimal sensor placement and sparse reconstruction for simplified urban flows

Auteurs: A. Vishwasrao, S. Gutha, A. Patil, K. Wijk, B. McKeon, C. Gorle, H. Azizpour and R. Vinuesa
Publié dans: CTR Summer Program Proceedings
Éditeur: CTR Stanford

Simulation of atmospheric boundary layer in the wind tunnel facility at University of Bristol

Auteurs: Taouil, Nada, Lim, H.D., Zang, B. and Azarpeyvand, Mahdi
Publié dans: Numéro 14th UK Conference on Wind Engineering, 2024
Éditeur: University of Southampton
DOI: 10.5258/WES/P0016

Indirectly Parameterized Concrete Autoencoders

Auteurs: Alfred Nilsson, Klas Wijk, Sai bharath chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour
Publié dans: International Conference on Machine Learning 2024
Éditeur: ICML
DOI: 10.5555/3692070.3693620

Auto-tuning Multi-GPU High-Fidelity Numerical Simulations for Urban Air Mobility

Auteurs: Konstantina Koliogeorgi; George Anagnostopoulos; Gerardo Zampino; Marcial Sanchis; Ricardo Vinuesa; Sotirios Xydis
Publié dans: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Éditeur: DATE
DOI: 10.23919/DATE58400.2024.10546549

Inverse Problems with Diffusion Models: A MAP Estimation Perspective

Auteurs: Sai Bharath Chandra Gutha, Ricardo Vinuesa, Hossein Azizpour
Publié dans: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Éditeur: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Auto-tuning Multi-GPU High-Fidelity Numerical Simulations for Urban Air Mobility

Auteurs: Konstantina Koliogeorgi, George Anagnostopoulos, Gerardo Zampino, Marcial Sanchis, Ricardo Vinuesa, Sotirios Xydis
Publié dans: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024
Éditeur: IEEE
DOI: 10.23919/DATE58400.2024.10546549