Zobrazeno 1 - 10
of 454
pro vyhledávání: '"Prestininzi, A."'
Autor:
Guglielmo, Gianmarco, Montessori, Andrea, Tucny, Jean-Michel, La Rocca, Michele, Prestininzi, Pietro
Application of Neural Networks to river hydraulics is fledgling, despite the field suffering from data scarcity, a challenge for machine learning techniques. Consequently, many purely data-driven Neural Networks proved to lack predictive capabilities
Externí odkaz:
http://arxiv.org/abs/2403.08589
Autor:
Montessori, Andrea, La Rocca, Michele, Prestininzi, Pietro, Tiribocchi, Adriano, Succi, Sauro
In this paper we numerically investigate the breakup dynamics of droplets in an emulsion flowing in a tapered microchannel with a narrow constriction. The mesoscale approach for multicomponent fluids with near contact interactions is shown to capture
Externí odkaz:
http://arxiv.org/abs/2108.01993
Publikováno v:
In Computers and Mathematics with Applications 1 December 2023 151:326-334
Autor:
Falcucci, Giacomo, Succi, Sauro, Montessori, Andrea, Melchionna, Simone, Prestininzi, Pietro, Barroo, Cedric, Bell, David C., Biener, Monika M., Biener, Juergen, Zugic, Branko, Kaxiras, Efthimios
Publikováno v:
Microfluidics and Nanofluidics, 20(7), 1-13, 2016
The development of high-efficiency porous catalyst membranes critically depends on our understanding of where the majority of the chemical conversions occur within the porous structure. This requires mapping of chemical reactions and mass transport i
Externí odkaz:
http://arxiv.org/abs/1607.02874
Akademický článek
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Autor:
Mariano Bizzarri, Mario Di Traglia, Alessandro Giuliani, Annarita Vestri, Valeria Fedeli, Alberto Prestininzi
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Abstract COVID-19 pandemic in Italy displayed a spatial distribution that made the tracking of its time course quite difficult. The most relevant anomaly was the marked spatial heterogeneity of COVID-19 diffusion. Lombardia region accounted for aroun
Externí odkaz:
https://doaj.org/article/45c17023e71543aa88be9e9b215426a5
Autor:
Prestininzi, Alberto1
Publikováno v:
Executive Intelligence Review. 8/11/2023, Vol. 50 Issue 31, p27-30. 4p.
Autor:
Cornelia LAUF, Flavia PRESTININZI
Publikováno v:
Sztuka i Dokumentacja, Vol 26, Pp 107-191 (2022)
Externí odkaz:
https://doaj.org/article/c528ab430d7e4a27a1ad3e2c03b25b40
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 416 (2022)
Flow Energy Harvesters (FEHs), equipped with piezoelectric active layers, are designed to extract energy from non-pulsating flows. FEHs featuring cantilevers with tip-mounted Vibration Inducers (VIs) are designed to develop a galloping motion. In thi
Externí odkaz:
https://doaj.org/article/72570bce09864ad09cccdb7decc067af
Publikováno v:
In International Journal of Multiphase Flow April 2019 113:107-116