scispace - formally typeset
Search or ask a question
Institution

Scuola superiore di Catania

About: Scuola superiore di Catania is a based out in . It is known for research contribution in the topics: Complex network & Graphene. The organization has 103 authors who have published 271 publications receiving 16218 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: In this brief letter new results regarding the discovery of jump resonance in driven Chua's circuit are given and a parametric diagram characterizing this phenomenon is reported.
Abstract: In this brief letter new results regarding the discovery of jump resonance in driven Chua's circuit are given. Moreover, a parametric diagram characterizing this phenomenon is reported.

8 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of irradiation defects on the electrical properties of single layers of graphene obtained by mechanical exfoliation of highly oriented pyrolytic graphite and deposited on a SiO 2 /n + -Si substrate were irradiated with high-energy (500 keV) C ions.
Abstract: Single layers of graphene obtained by mechanical exfoliation of highly oriented pyrolytic graphite and deposited on a SiO 2 /n + -Si substrate were irradiated with high-energy (500 keV) C ions. Controlled amounts of defects were introduced in graphene by a precise control of the ion fluence, ranging from 1 x 10 13 to 1 × 10 14 cm ―2 . Scanning capacitance spectroscopy (SCS) was used as non-destructive characterization technique to probe the effect of irradiation defects on the electrical properties of graphene. A wider variation between the capacitance curves measured at different positions on irradiated graphene is found in comparison with the pristine graphene. The quantum capacitance per unit area C' q was extracted from raw data. In particular, an increase of C' q is associated to the damaged regions.

7 citations

Posted Content
TL;DR: In this article, the authors present HERMES, the \emph{ad hoc} Monte Carlo code developed for the realistic simulation of ultra-high energy cosmic rays (UHECR) propagation.
Abstract: The study of ultra-high energy cosmic rays (UHECR) at Earth cannot prescind from the study of their propagation in the Universe. In this paper, we present HERMES, the \emph{ad hoc} Monte Carlo code we have developed for the realistic simulation of UHECR propagation. We discuss the modeling adopted to simulate the cosmology, the magnetic fields, the interactions with relic photons and the production of secondary particles. In order to show the potential applications of HERMES for astroparticle studies, we provide an estimation of the surviving probability of UHE protons, the GZK horizons of nuclei and the all-particle spectrum observed at Earth in different astrophysical scenarios. Finally, we show the expected arrival direction distribution of UHECR produced from nearby candidate sources. A stable version of HERMES will be released in the next future for public use together with libraries of already propagated nuclei to allow the community to perform mass composition and energy spectrum analysis with our simulator.

7 citations

Posted Content
TL;DR: It is shown that models of epidemic spreading in complex networks can be applied to the problem of tuning and controlling the dissemination of information in wireless ad hoc networks composed of devices carried by individuals, i.e., human-based networks.
Abstract: Epidemics-inspired techniques have received huge attention in recent years from the distributed systems and networking communities. These algorithms and protocols rely on probabilistic message replication and redundancy to ensure reliable communication. Moreover, they have been successfully exploited to support group communication in distributed systems, broadcasting, multicasting and information dissemination in fixed and mobile networks. However, in most of the existing work, the probability of infection is determined heuristically, without relying on any analytical model. This often leads to unnecessarily high transmission overheads. In this paper we show that models of epidemic spreading in complex networks can be applied to the problem of tuning and controlling the dissemination of information in wireless ad hoc networks composed of devices carried by individuals, i.e., human-based networks. The novelty of our idea resides in the evaluation and exploitation of the structure of the underlying human network for the automatic tuning of the dissemination process in order to improve the protocol performance. We evaluate the results using synthetic mobility models and real human contacts traces.

7 citations

Journal ArticleDOI
TL;DR: In this article, the dependence on the strength and orientation of applied uniaxial strain of the Drude weight in the conductivity of graphene was studied and a non-monotonic dependence on strain was found, which may be related to the proximity to several strain-induced electronic topological transitions.
Abstract: We study the dependence on the strength and orientation of applied uniaxial strain of the Drude weight in the conductivity of graphene. We find a non-monotonic dependence on strain, which may be related to the proximity to several strain-induced electronic topological transitions. Given the relation between the Drude weight and the long-wavelength plasmon frequency, such a strain dependence can be evidenced by infrared spectroscopy measurements.

7 citations


Authors

Showing all 103 results

Network Information
Related Institutions (5)
Max Planck Society
406.2K papers, 19.5M citations

87% related

University of California, Santa Barbara
80.8K papers, 4.6M citations

87% related

Centre national de la recherche scientifique
382.4K papers, 13.6M citations

86% related

École Polytechnique Fédérale de Lausanne
98.2K papers, 4.3M citations

85% related

University of Science and Technology of China
101K papers, 2.4M citations

85% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20215
202010
20194
201810
20179
20168