Zobrazeno 1 - 10
of 4 005
pro vyhledávání: '"Galletti, P"'
Autor:
Verra, L., Galletti, M., Pompili, R., Biagioni, A., Carillo, M., Cianchi, A., Crincoli, L., Curcio, A., Demurtas, F., Di Pirro, G., Lollo, V., Parise, G., Pellegrini, D., Romeo, S., Silvi, G. J., Villa, F., Ferrario, M.
Dielectric capillaries are widely used to generate plasmas for plasma wakefield acceleration. When a relativistic drive bunch travels through a capillary with misaligned trajectory with respect to the capillary axis, it is deflected by the effect of
Externí odkaz:
http://arxiv.org/abs/2410.06684
Autor:
Verra, L., Galletti, M., Pompili, R., Biagioni, A., Carillo, M., Cianchi, A., Crincoli, L., Curcio, A., Demurtas, F., Di Pirro, G., Lollo, V., Parise, G., Pellegrini, D., Romeo, S., Silvi, G. J., Villa, F., Ferrario, M.
The space-charge field of a relativistic charged bunch propagating in plasma is screened due to the presence of mobile charge carriers. We experimentally investigate such screening by measuring the effect of dielectric wakefields driven by the bunch
Externí odkaz:
http://arxiv.org/abs/2406.11314
Autor:
Maiani, A., Drachmann, A. C. C., Galletti, L., Schrade, C., Liu, Y., Souto, R. Seoane, Vaitiekėnas, S.
We report tunneling spectroscopy and transport measurements in superconducting Al and ferromagnetic-insulator EuS bilayers. The samples display remanent spin-splitting, roughly half the superconducting gap, and supercurrent transport above the averag
Externí odkaz:
http://arxiv.org/abs/2404.17320
Autor:
Toshev, Artur P., Ramachandran, Harish, Erbesdobler, Jonas A., Galletti, Gianluca, Brandstetter, Johannes, Adams, Nikolaus A.
Particle-based fluid simulations have emerged as a powerful tool for solving the Navier-Stokes equations, especially in cases that include intricate physics and free surfaces. The recent addition of machine learning methods to the toolbox for solving
Externí odkaz:
http://arxiv.org/abs/2403.04750
Safe and reliable disclosure of information from confidential data is a challenging statistical problem. A common approach considers the generation of synthetic data, to be disclosed instead of the original data. Efficient approaches ought to deal wi
Externí odkaz:
http://arxiv.org/abs/2402.17915
Autor:
Aghaee, Morteza, Ramirez, Alejandro Alcaraz, Alam, Zulfi, Ali, Rizwan, Andrzejczuk, Mariusz, Antipov, Andrey, Astafev, Mikhail, Barzegar, Amin, Bauer, Bela, Becker, Jonathan, Bhaskar, Umesh Kumar, Bocharov, Alex, Boddapati, Srini, Bohn, David, Bommer, Jouri, Bourdet, Leo, Bousquet, Arnaud, Boutin, Samuel, Casparis, Lucas, Chapman, Benjamin James, Chatoor, Sohail, Christensen, Anna Wulff, Chua, Cassandra, Codd, Patrick, Cole, William, Cooper, Paul, Corsetti, Fabiano, Cui, Ajuan, Dalpasso, Paolo, Dehollain, Juan Pablo, de Lange, Gijs, de Moor, Michiel, Ekefjärd, Andreas, Dandachi, Tareq El, Saldaña, Juan Carlos Estrada, Fallahi, Saeed, Galletti, Luca, Gardner, Geoff, Govender, Deshan, Griggio, Flavio, Grigoryan, Ruben, Grijalva, Sebastian, Gronin, Sergei, Gukelberger, Jan, Hamdast, Marzie, Hamze, Firas, Hansen, Esben Bork, Heedt, Sebastian, Heidarnia, Zahra, Zamorano, Jesús Herranz, Ho, Samantha, Holgaard, Laurens, Hornibrook, John, Indrapiromkul, Jinnapat, Ingerslev, Henrik, Ivancevic, Lovro, Jensen, Thomas, Jhoja, Jaspreet, Jones, Jeffrey, Kalashnikov, Konstantin V., Kallaher, Ray, Kalra, Rachpon, Karimi, Farhad, Karzig, Torsten, King, Evelyn, Kloster, Maren Elisabeth, Knapp, Christina, Kocon, Dariusz, Koski, Jonne, Kostamo, Pasi, Kumar, Mahesh, Laeven, Tom, Larsen, Thorvald, Lee, Jason, Lee, Kyunghoon, Leum, Grant, Li, Kongyi, Lindemann, Tyler, Looij, Matthew, Love, Julie, Lucas, Marijn, Lutchyn, Roman, Madsen, Morten Hannibal, Madulid, Nash, Malmros, Albert, Manfra, Michael, Mantri, Devashish, Markussen, Signe Brynold, Martinez, Esteban, Mattila, Marco, McNeil, Robert, Mei, Antonio B., Mishmash, Ryan V., Mohandas, Gopakumar, Mollgaard, Christian, Morgan, Trevor, Moussa, George, Nayak, Chetan, Nielsen, Jens Hedegaard, Nielsen, Jens Munk, Nielsen, William Hvidtfelt Padkær, Nijholt, Bas, Nystrom, Mike, O'Farrell, Eoin, Ohki, Thomas, Otani, Keita, Wütz, Brian Paquelet, Pauka, Sebastian, Petersson, Karl, Petit, Luca, Pikulin, Dima, Prawiroatmodjo, Guen, Preiss, Frank, Morejon, Eduardo Puchol, Rajpalke, Mohana, Ranta, Craig, Rasmussen, Katrine, Razmadze, David, Reentila, Outi, Reilly, David J., Ren, Yuan, Reneris, Ken, Rouse, Richard, Sadovskyy, Ivan, Sainiemi, Lauri, Sanlorenzo, Irene, Schmidgall, Emma, Sfiligoj, Cristina, Shah, Mustafeez Bashir, Simoes, Kevin, Singh, Shilpi, Sinha, Sarat, Soerensen, Thomas, Sohr, Patrick, Stankevic, Tomas, Stek, Lieuwe, Stuppard, Eric, Suominen, Henri, Suter, Judith, Teicher, Sam, Thiyagarajah, Nivetha, Tholapi, Raj, Thomas, Mason, Toomey, Emily, Tracy, Josh, Turley, Michelle, Upadhyay, Shivendra, Urban, Ivan, Van Hoogdalem, Kevin, Van Woerkom, David J., Viazmitinov, Dmitrii V., Vogel, Dominik, Watson, John, Webster, Alex, Weston, Joseph, Winkler, Georg W., Xu, Di, Yang, Chung Kai, Yucelen, Emrah, Zeisel, Roland, Zheng, Guoji, Zilke, Justin
The fusion of non-Abelian anyons or topological defects is a fundamental operation in measurement-only topological quantum computation. In topological superconductors, this operation amounts to a determination of the shared fermion parity of Majorana
Externí odkaz:
http://arxiv.org/abs/2401.09549
Autor:
Fruzza, Filippo, Chu, Hongchao, Lamioni, Rachele, Grenga, Temistocle, Galletti, Chiara, Pitsch, Heinz
Predicting flashback represents a pivotal challenge in the development of innovative perforated burners for household appliances, especially for substituting natural gas with hydrogen as fuel. Most existing numerical studies have utilized two-dimensi
Externí odkaz:
http://arxiv.org/abs/2312.00744
Autor:
Fruzza, Filippo, Lamioni, Rachele, Mariotti, Alessandro, Salvetti, Maria Vittoria, Galletti, Chiara
Publikováno v:
Fuel 362 (2024) 130838
Hydrogen has emerged as a promising option for promoting decarbonization in various sectors by serving as a replacement for natural gas while retaining the combustion-based conversion system. However, its higher reactivity compared to natural gas int
Externí odkaz:
http://arxiv.org/abs/2311.18441
Machine learning has been successfully applied to grid-based PDE modeling in various scientific applications. However, learned PDE solvers based on Lagrangian particle discretizations, which are the preferred approach to problems with free surfaces o
Externí odkaz:
http://arxiv.org/abs/2309.16342
Missing data arises when certain values are not recorded or observed for variables of interest. However, most of the statistical theory assume complete data availability. To address incomplete databases, one approach is to fill the gaps corresponding
Externí odkaz:
http://arxiv.org/abs/2308.06677