Zobrazeno 1 - 10
of 25 014
pro vyhledávání: '"Militello A."'
Autor:
Di Gregorio, Giuseppe
The volume, dedicated to the 44th International Conference of the Italian Union for Drawing, investigates the theme of ‘Transitions’, which particularly effectively represents our time and the current condition of the discipline of Drawing. The t
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/86682
Plasma-impurity reaction rates are a crucial part of modelling tokamak scrape-off layer (SOL) plasmas. To avoid calculating the full set of rates for the large number of important processes involved, a set of effective rates are typically derived whi
Externí odkaz:
http://arxiv.org/abs/2410.00651
Autor:
Tholerus, E., Garzotti, L., Parail, V., Baranov, Y., Bonnin, X., Corrigan, G., Eriksson, F., Farina, D., Figini, L., Harting, D. M., Kim, S. H., Koechl, F., Loarte, A., Asp, E. Militello, Nordman, H., Pinches, S. D., Polevoi, A. R., Strand, P.
In the initial stages of ITER operation, ELM mitigation systems need to be commissioned. This requires controlled flat-top operation in type-I ELMy H-mode regimes. Hydrogen or helium plasma discharges are used exclusively in these stages to ensure ne
Externí odkaz:
http://arxiv.org/abs/2408.01222
Publikováno v:
Il Foro Italiano, 2002 Mar 01. 125(3), 911/912-917/918.
Externí odkaz:
https://www.jstor.org/stable/23196930
Generalized Cluster Correlation Expansion theory for STIRAP processes in the presence of a spin bath
The Stimulated Raman Adiabatic Passage (STIRAP) is applied to a system coupled to a bath made of fully-interacting two-level systems, whose dynamics is studied exploiting the generalized Cluster Correlation Expansion (gCCE) theory. We specialize our
Externí odkaz:
http://arxiv.org/abs/2405.20235
Publikováno v:
Il Foro Italiano, 2011 Jun 01. 134(6), 1947/1948-1955/1956.
Externí odkaz:
http://www.jstor.org/stable/23206907
Publikováno v:
Il Foro Italiano, 2010 Jan 01. 133(1), 287/288-297/298.
Externí odkaz:
https://www.jstor.org/stable/23204468
Publikováno v:
Il Foro Italiano, 1998 Feb 01. 121(2), 371/372-379/380.
Externí odkaz:
https://www.jstor.org/stable/23193975
Autor:
Prinzi, Francesco, Militello, Carmelo, Zarcaro, Calogero, Bartolotta, Tommaso Vincenzo, Gaglio, Salvatore, Vitabile, Salvatore
In the last years, artificial intelligence (AI) in clinical decision support systems (CDSS) played a key role in harnessing machine learning and deep learning architectures. Despite their promising capabilities, the lack of transparency and explainab
Externí odkaz:
http://arxiv.org/abs/2405.02334