Samothrace Project Outcomes
SiC is a key semiconductor for high-efficiency power electronics. To exploit all its potential, research aims at optimizing processing steps, as for metal/semiconductor interfaces. In this activity, Mo-based low work-function metals were implemented as Schottky barrier in diodes. The process was studied by CNR-IMM in collaboration with STMicroelectronics.
A new, cheap, flexible and reliable plasma X-ray diagnostics system suitable for fusion plasmas and other industrial applications has been developed. It is based on an X-ray sensor based on scintillating fibers and SiPMs readout, as part of the PYN-HO prototype, which has proven to be robust to industrial environments even in presence of strong EM noise. X-rays can be detected down to 35 keV
The aforementioned working group has identified a number of historic sites in the municipality of San Marco D’Alunzio with a view to carrying out a series of surveys aimed at installing information displays designed to make it easier for people with sensory and/or mental disabilities to access the cultural heritage.
The actual SiC MOSFET technology present a high channel resistance due to the high defect density at the SiC/SiO2 interface. These defects are related to the steps present at this interface. The new process removes this problem thanks to a high temperature etch in hydrogen that produces an atomically flat surface. This patented process will reduce considerably the channel resistance.
Development of an interactive platform of the Scientific Collections of the Architecture Department of the University of Palermo. Through customisable search tools, the digital information system facilitates the exploration of the archival heritage, making it accessible to different categories of users in order to expand its use and promote new areas of research and cultural production practices.
Plant pathogenic fungi threaten food safety and human health. This work presents a fluorescent array of organic receptors for selective detection of Penicillium italicum, Alternaria alternata, and Fusarium sacchari. Detection is performed via smartphone, representing the first proof-of-concept for identifying microscopic plant fungal pathogens with a portable device.