1 citations · 1 across the 4 of their papers we have counts for
6 papers
Magneto-mechanical reservoir computing combining a two-dimensional network of nonlinear mass-spring resonators with magnetic tunnel junctions
Andrea Grimaldi, Davi R. Rodrigues, Andrea Meo +2
Coupled networks of mass-spring resonators have attracted growing attention across multiple fundamental and applied research directions, including reservoir computing for artificia…
Multi-value Probabilistic Computing with current-controlled Skyrmion Diffusion
Thomas B. Winkler, Yuean Zhou, Grischa Beneke +6
Magnetic systems are highly promising for implementing probabilistic computing paradigms because of the fitting energy scales and conspicuous non-linearities. While conventional bi…
Spintronic temperature nanosensor based on the resonance response of a skyrmion-hosting magnetic tunnel junction
Michail Lianeris, Davi Rodrigues, Andrea Meo +5
The increasing need for efficient thermal management in nanoelectronics requires innovative thermal sensing solutions, as conventional sensors often exhibit nonlinear responses, lo…
Skyrmions in Nanotechnology: Fundamental Properties, Experimental Advances, and Emerging Applications
Davi Rodrigues, Alejandro Riveros, Andrea Meo +6
Skyrmions, topologically protected textures, have been observed in different fields of nanotechnology and have emerged as promising candidates for different applications due to the…
Diverse dynamics in interacting vortices systems through tunable conservative and non-conservative coupling strengths
A. Hamadeh, A. Koujok, D. R. Rodrigues +6
Magnetic vortices are highly tunable, nonlinear systems with ideal properties for being applied in spin wave emission, data storage, and neuromorphic computing. However, their tech…
A design of magnetic tunnel junctions for the deployment of neuromorphic hardware for edge computing
Davi Rodrigues, Eleonora Raimondo, Riccardo Tomasello +2
The electrically readable complex dynamics of robust and scalable magnetic tunnel junctions (MTJs) offer promising opportunities for advancing neuromorphic computing. In this work,…