Zobrazeno 1 - 10
of 23 860
pro vyhledávání: '"D'Ignazio A"'
Autor:
Lin, Hongjin, Karusala, Naveena, Okolo, Chinasa T., D'Ignazio, Catherine, Gajos, Krzysztof Z.
Artificial Intelligence for Social Good (AI4SG) has emerged as a growing body of research and practice exploring the potential of AI technologies to tackle social issues. This area emphasizes interdisciplinary partnerships with community organization
Externí odkaz:
http://arxiv.org/abs/2409.06814
Mitigation of load fluctuations due to flow unsteadiness is critical in a broad range of applications, including wind/tidal turbines, and aerial/underwater vehicles. While the use of active control systems is an established practice in engineering, p
Externí odkaz:
http://arxiv.org/abs/2408.16421
Blade-tip vortices can lead to wakes, cavitation and noise, and their control remains a significant challenge for tidal and wind turbines. In the present work, we propose and investigate controlling tip vortices through local permeability. Blade-reso
Externí odkaz:
http://arxiv.org/abs/2408.16418
In this work, we investigate the local effects of a single short-range impurity on the electron system of a short ballistic graphene Josephson Junction. Within the Dirac-Bogoliubov-De Gennes approach, we systematically analyze the local density state
Externí odkaz:
http://arxiv.org/abs/2407.20940
Autor:
Ignazio, Vincenzo, Ricciardi, Michele
Mean Field Games (MFG) theory describes strategic interactions in differential games with a large number of small and indistinguishable players. Traditionally, the players' control impacts only the drift term in the system's dynamics, leaving the dif
Externí odkaz:
http://arxiv.org/abs/2407.20826
We perform fully general-relativistic simulations of binary strange star mergers considering two different approaches for thermal effects. The first uses a cold equation of state (EOS) derived from a modified version of the MIT bag model which is the
Externí odkaz:
http://arxiv.org/abs/2407.11143
Autor:
Scordino, Domenico, Bombaci, Ignazio
We study the effects of dark matter on the structural properties of neutron stars. In particular we investigate how the presence of a dark matter component influences the mass-radius relation, the value of the maximum mass of a neutron star and other
Externí odkaz:
http://arxiv.org/abs/2405.19251
Chae's analyses on GAIA observations of wide binary stars have fortified the paradigm of extended gravity with particular attention to MOND-like theories. We recall that, starting from the origin of Einstein's general relativity, the request of Mach
Externí odkaz:
http://arxiv.org/abs/2405.08024
Autor:
Klein, Lauren, D'Ignazio, Catherine
This paper presents a set of intersectional feminist principles for conducting equitable, ethical, and sustainable AI research. In Data Feminism (2020), we offered seven principles for examining and challenging unequal power in data science. Here, we
Externí odkaz:
http://arxiv.org/abs/2405.01286
We establish robust relations between Transverse Momentum Dependent distributions (TMDs) and collinear distributions. We define weighted integrals of TMDs that we call Transverse Momentum Moments (TMMs) and prove that TMMs are equal to collinear dist
Externí odkaz:
http://arxiv.org/abs/2402.01836