activity
20082023
most citedMagnetic radial vortex stabilization and efficient manipulation driven by the Dzyaloshinskii Moriya Interaction and the spin-transfer torque

91 citations · 359 across the 17 of their papers we have counts for

collaborators

17 papers

cond-mat.mes-hall2023★ 6 cited

Ultra-sensitive voltage-controlled skyrmion-based spintronic diode

Davi Rodrigues, Riccardo Tomasello, Giulio Siracusano +2

We have designed a passive spintronic diode based on a single skyrmion stabilized in a magnetic tunnel junction and studied its dynamics induced by voltage-controlled anisotropy (V…

cond-mat.mes-hall2021★ 10 cited

Role of magnetic skyrmions for the solution of the shortest path problem

Riccardo Tomasello, Anna Giordano, Francesca Garesci +5

Magnetic skyrmions are emerging as key elements of unconventional operations having unique properties such as small size and low current manipulation. In particular, it is possible…

physics.med-ph2020

Pipeline for Advanced Contrast Enhancement (PACE) of chest X-ray in evaluating COVID-19 patients by combining bidimensional empirical mode decomposition and CLAHE

Giulio Siracusano, Aurelio La Corte, Michele Gaeta +3

COVID-19 is a new pulmonary disease which is driving stress to the hospitals due to the large number of cases worldwide. Imaging of lungs can play a key role in monitoring of the h…

physics.app-ph2019★ 49 cited

Spin-orbit torque based physical unclonable function

G. Finocchio, T. Moriyama, R. De Rose +8

This paper introduces the concept of spin-orbit-torque-MRAM (SOT-MRAM) based physical unclonable function (PUF). The secret of the PUF is stored into a random state of a matrix of…

eess.SP2019★ 1 cited

Forecasting Mobile Traffic with Spatiotemporal correlation using Deep Regression

Giulio Siracusano, Aurelio La Corte

The concept of mobility prediction represents one of the key enablers for an efficient management of future cellular networks, which tend to be progressively more elaborate and den…

cs.LG2019★ 1 cited

Automatic crack classification by exploiting statistical event descriptors for Deep Learning

Giulio Siracusano, Francesca Garescì, Giovanni Finocchio +6

In modern building infrastructures, the chance to devise adaptive and unsupervised data-driven health monitoring systems is gaining in popularity due to the large availability of b…