Zobrazeno 1 - 10
of 49 679
pro vyhledávání: '"COPPOLA, A."'
Autor:
Coppola, Máximo, Tavares, William R., Avancini, Sidney S., Sodré, Joana C., Scoccola, Norberto N.
We calculate the screening masses of pseudoscalar mesons in a hot and strongly magnetized medium within the framework of the SU(3) Nambu-Jona--Lasinio model, using a magnetic field-independent regularization scheme. Inverse magnetic catalysis (IMC) i
Externí odkaz:
http://arxiv.org/abs/2410.05568
The effects of kinetic-energy preservation errors due to Runge-Kutta (RK) temporal integrators have been analyzed for the case of large-eddy simulations of incompressible turbulent channel flow. Simulations have been run using the open-source solver
Externí odkaz:
http://arxiv.org/abs/2409.08851
This study proposes a novel spatial discretization procedure for the compressible Euler equations which guarantees entropy conservation at a discrete level when an arbitrary equation of state is assumed. The proposed method, based on a locally-conser
Externí odkaz:
http://arxiv.org/abs/2408.01235
Autor:
Coppola, Giovanni
We study in detail the Ramanujan smooth expansions, for arithmetic functions; we start with the most general ones, for which we supply the "$P-$local expansions", for arguments with all prime-factors $p\le P$ (namely, $P-$smooth arguments), that are
Externí odkaz:
http://arxiv.org/abs/2407.19759
Autor:
Laudadio, Lorenzo, Vetrò, Antonio, Coppola, Riccardo, De Martin, Juan Carlos, Torchiano, Marco
Six years after the entry into force of the GDPR, European companies and organizations still have difficulties complying with it: the amount of fines issued by the European data protection authorities is continuously increasing. Personal data transfe
Externí odkaz:
http://arxiv.org/abs/2407.13467
Autor:
De Michele, Carlo, Coppola, Gennaro
Employing physically-consistent numerical methods is an important step towards attaining robust and accurate numerical simulations. When addressing compressible flows, in addition to preserving kinetic energy at a discrete level, as done in the incom
Externí odkaz:
http://arxiv.org/abs/2407.03299
Autor:
Coppola, Davide, Lee, Hwee Kuan
This study explores the impact of adversarial perturbations on Convolutional Neural Networks (CNNs) with the aim of enhancing the understanding of their underlying mechanisms. Despite numerous defense methods proposed in the literature, there is stil
Externí odkaz:
http://arxiv.org/abs/2405.20672
Autor:
Viviani, M., Baeßler, S., Barrón-Palos, L., Birge, N., Bowman, J. D., Calarco, J., Cianciolo, V., Coppola, C. E., Crawford, C. B., Dodson, G., Fomin, N., Garishvili, I., Gericke, M. T., Girlanda, L., Greene, G. L., Hale, G. M., Hamblen, J., Hayes, C., Iverson, E. B., Kabir, M. L., Kievsky, A., Marcucci, L. E., McCrea, M., Plemons, E., Ramírez-Morales, A., Mueller, P. E., Novikov, I., Penttila, S. I., Scott, E. M., Watts, J., Wickersham, C.
Recently, the n$^3$He collaboration reported a measurement of the parity-violating (PV) proton directional asymmetry $A_{\mathrm {PV}} = (1.55\pm 0.97~\mathrm {(st\ at)} \pm 0.24~\mathrm {(sys)})\times 10^{-8}$ in the capture reaction of ${}^3$He$(\v
Externí odkaz:
http://arxiv.org/abs/2405.10258
Autor:
Feldt, Robert, Coppola, Riccardo
Large Language Models (LLMs) are becoming key in automating and assisting various software development tasks, including text-based tasks in requirements engineering but also in coding. Typically, these models are used to automate small portions of ex
Externí odkaz:
http://arxiv.org/abs/2405.04236
Autor:
Mao, Xiaofeng, Giudici, Gabriele, Coppola, Claudio, Althoefer, Kaspar, Farkhatdinov, Ildar, Li, Zhibin, Jamone, Lorenzo
Effective execution of long-horizon tasks with dexterous robotic hands remains a significant challenge in real-world problems. While learning from human demonstrations have shown encouraging results, they require extensive data collection for trainin
Externí odkaz:
http://arxiv.org/abs/2405.03476