Groundbreaking tools and models to reduce air pollution in urban areas

Informazioni relative al progetto

MODELAIR

ID dell’accordo di sovvenzione: 101072559

DOI

10.3030/101072559

Data della firma CE 6 Luglio 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2026

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 2 685 400,80

Coordinato da

UNIVERSIDAD POLITECNICA DE MADRID
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Peer reviewed articles (15)

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

Autori: Emanuele Bombardi, Alessandro Gambale, Alessandro Parente
Pubblicato in: Building and Environment, Numero 283, 2025, ISSN 0360-1323
Editore: 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

Autori: Ashton Hetherington; Javier López Leonés; Soledad Le Clainche
Pubblicato in: Expert Systems with Applications, 2025
Editore: ELSEVIER
DOI: 10.2139/SSRN.5142022

Eigenhearts: Cardiac diseases classification using eigenfaces approach

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

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

Autori: Haoyan Li; Alberto Procacci; Sampath Kumar Raghunathan Srikumar; Gabriele Mosca; Alessandro Gambale; Alessandro Parente
Pubblicato in: Physics of Fluids, 2025
Editore: AIP PUBLISHING
DOI: 10.1063/5.0281638

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

Autori: R. Abadía-Heredia; A. Corrochano; M. Lopez-Martin; S. Le Clainche
Pubblicato in: Physics of Fluids, 2025
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2404.17884

Pressure as boundary curvature: A variational approach to potential flows

Autori: M. Sanchis-Agudo, R. Vinuesa
Pubblicato in: Physics of Fluids, Numero 37, 2025, ISSN 1070-6631
Editore: AIP Publishing
DOI: 10.1063/5.0286411

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

Autori: Marcial Sanchis-Agudo, Yuning Wang, Roger Arnau, Luca Guastoni, Jasmin Lim, Karthik Duraisamy, Ricardo Vinuesa
Pubblicato in: APL Computational Physics, Numero 1, 2025, ISSN 3066-0017
Editore: AIP Publishing
DOI: 10.1063/5.0284085

A new method based on physical patterns to impute aerobiological datasets

Autori: Sofia Tagliaferro, Adrián Corrochano, Pierpaolo Marchetti, Alessandro Marcon, Soledad Le Clainche
Pubblicato in: PLOS ONE, Numero 19, 2024, ISSN 1932-6203
Editore: Public Library of Science (PLoS)
DOI: 10.1371/journal.pone.0314005

Indirectly Parameterized Concrete Autoencoders

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

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

Autori: P. Pillai; A. I. Hetherington; L. Saavedra; S. Le Clainche
Pubblicato in: Physics of Fluids, 2025
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2503.24064

Flow Control with Data-Driven Approaches

Autori: Corrochano, A.; Le Clainche, S.
Pubblicato in: 9th European Congress on Computational Methods in Applied Sciences and Engineering, 2024
Editore: ECCOMAS
DOI: 10.23967/ECCOMAS.2024.085

Inverse Problems with Diffusion Models: A MAP Estimation Perspective

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

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

Autori: Benet Eiximeno; Marcial Sanchis-Agudo; Arnau Miró; Ivette Rodriguez; Ricardo Vinuesa; Oriol Lehmkuhl
Pubblicato in: Journal of Fluid Mechanics, 2025
Editore: 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

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

Low-cost singular value decomposition with optimal sensor placement

Autori: Ashton Hetherington; Soledad Le Clainche
Pubblicato in: Physics of Fluids, 2025
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2311.09791

Conference proceedings (6)

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

Autori: A. Vishwasrao, S. Gutha, A. Patil, K. Wijk, B. McKeon, C. Gorle, H. Azizpour and R. Vinuesa
Pubblicato in: CTR Summer Program Proceedings
Editore: CTR Stanford

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

Autori: Taouil, Nada, Lim, H.D., Zang, B. and Azarpeyvand, Mahdi
Pubblicato in: Numero 14th UK Conference on Wind Engineering, 2024
Editore: University of Southampton
DOI: 10.5258/WES/P0016

Indirectly Parameterized Concrete Autoencoders

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

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

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

Inverse Problems with Diffusion Models: A MAP Estimation Perspective

Autori: Sai Bharath Chandra Gutha, Ricardo Vinuesa, Hossein Azizpour
Pubblicato in: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Editore: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

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

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