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Mattia Cavaiola
Mattia Cavaiola
Researcher at the Institute of Marine Science (ISMAR) of the National Research Council of Italy
Verified email at cnr.it - Homepage
Title
Cited by
Cited by
Year
Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing
ME Rosti, S Olivieri, M Cavaiola, A Seminara, A Mazzino
Scientific reports 10 (1), 22426, 2020
1042020
Turbulence role in the fate of virus-containing droplets in violent expiratory events
ME Rosti, M Cavaiola, S Olivieri, A Seminara, A Mazzino
Physical Review Research 3 (1), 013091, 2021
372021
The assembly of freely moving rigid fibres measures the flow velocity gradient tensor
M Cavaiola, S Olivieri, A Mazzino
Journal of Fluid Mechanics 894, A25, 2020
132020
Calibrating the CAMS European multi-model air quality forecasts for regional air pollution monitoring
G Casciaro, M Cavaiola, A Mazzino
Atmospheric environment 287, 119259, 2022
102022
Transport and evaporation of virus-containing droplets exhaled by men and women in typical cough events
S Olivieri, M Cavaiola, A Mazzino, ME Rosti
Meccanica 57 (3), 567-575, 2022
82022
Ensemble machine learning greatly improves ERA5 skills for wind energy applications
M Cavaiola, PE Tuju, F Ferrari, G Casciaro, A Mazzino
Energy and AI 13, 100269, 2023
62023
Novel strategies of Ensemble Model Output Statistics (EMOS) for calibrating wind speed/power forecasts
G Casciaro, F Ferrari, M Cavaiola, A Mazzino
Energy Conversion and Management 271, 116297, 2022
62022
Turbulence dictates the fate of virus-containing liquid droplets in violent expiratory events
ME Rosti, M Cavaiola, S Olivieri, A Seminara, A Mazzino
arXiv preprint arXiv:2008.05119, 2020
52020
Role of barriers in the airborne spread of virus-containing droplets: A study based on high-resolution direct numerical simulations
M Cavaiola, S Olivieri, J Guerrero, A Mazzino, ME Rosti
Physics of Fluids 34 (1), 2022
32022
Self-propelled slender objects can measure flow signals net of self-motion
M Cavaiola, A Mazzino
Physics of Fluids 33 (5), 2021
22021
A novel AI-assisted forecasting strategy reveals the energy imbalance sign for the day-ahead electricity market
D Carnevale, M Cavaiola, A Mazzino
Energy Reports 11, 4115-4126, 2024
2024
Hybrid AI-enhanced lightning flash prediction in the medium-range forecast horizon
M Cavaiola, F Cassola, D Sacchetti, F Ferrari, A Mazzino
Nature Communications 15 (1), 1188, 2024
2024
Swarm of slender pusher and puller swimmers at finite Reynolds numbers
M Cavaiola
Physics of Fluids 34 (2), 2022
2022
Urgent data for COVID-19 are needed for a scientific design of social distancing
ME Rosti, S Olivieri, M Cavaiola, A Seminara, A Mazzino
arXiv e-prints, arXiv: 2009.00870, 2020
2020
Turbulence dictates the fate of virus-containing droplets in violent expiratory events
ME Rosti, M Cavaiola, S Olivieri, A Seminara, A Mazzino
arXiv preprint arXiv:2008.05119, 2020
2020
The assembly of freely moving rigid fibers measures the flow gradient tensor
M Cavaiola, S Olivieri, A Mazzino
arXiv preprint arXiv:1908.04072, 2019
2019
The Jonico-Salentino project: meteorology, air quality and health risks in the Apulia region (Italy)
R Buccolieri, A Genga, A De Donno, T Siciliano, M Siciliano, F Bagordo, ...
EGU General Assembly Conference Abstracts, 7918, 2018
2018
On the direct measure of drag force over simplified groups of obstacles
R Buccolieri, P Salizzoni, M Cavaiola, L Soulhac
11th International Conference on Air Quality Science and Application …, 2018
2018
Airborne pollutant concentrations and health risks in selected Apulia region (IT) areas: preliminary results from the Jonico-Salentino project
R Buccolieri, A Genga, A De Donno, T Siciliano, M Siciliano, F Serio, ...
EGU General Assembly Conference Abstracts, 13969, 2017
2017
COVID-19 関連追加 (2020 年 12 月 31 日)[COVID-19 空気感染の流体力学はソーシャルディスタンスの関しての緊急的なデータを示唆する]
ME Rosti, S Olivieri, M Cavaiola
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