1 citations · 1 across the 13 of their papers we have counts for
13 papers
Data-Driven Estimation of the interfacial Dzyaloshinskii-Moriya Interaction with Machine Learning
Davi Rodrigues, Andrea Meo, Ali Hasan +8
Machine learning offers powerful tools to support experimental techniques, particularly for extracting latent features from large datasets. In magnetic materials, accurately estima…
Trainable Neuromorphic Spintronic Hardware Via Analog Finite-Difference Gradient Methods
Catarina Pereira, Alex Jenkins, Eleonora Raimondo +8
Spintronic nano-neurons offer a promising route towards energy-efficient, high-performance hardware neural networks thanks to their inherent low-input nonlinear dynamics. However,…
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…
An all-magnonic neuron with tunable fading memory
David Breitbach, Moritz Bechberger, Hanadi Mortada +9
Magnonics offers nanometer-scale wave propagation and strong nonlinearities, making it attractive for neuromorphic applications such as artificial neurons. Yet, magnonic elements w…
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…
Predicting sampling advantage of stochastic Ising Machines for Quantum Simulations
Rutger J. L. F. Berns, Davi R. Rodrigues, Giovanni Finocchio +1
Stochastic Ising machines, sIMs, are highly promising accelerators for optimization and sampling of computational problems that can be formulated as an Ising model. Here we investi…
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…
Injection locking in DC-driven spintronic vortex oscillators via surface acoustic wave modulation
R. Moukhader, D. R. Rodrigues, A. Riveros +4
Control of the microwave signal generated by spin-transfer torque oscillators (STOs) is crucial for their applications in spin wave generation and neuromorphic computing. This stud…
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,…
Resonant excitation of vortex gyrotropic mode via surface acoustic waves
A. Koujok, A. Riveros, D. R. Rodrigues +4
Finding new energy-efficient methods for exciting magnetization dynamics is one of the key challenges in magnonics. In this work, we present an approach to excite the gyrotropic dy…
Reversal of coupled vortices in advanced spintronics: A mechanistic study
A. Hamadeh, A. Koujok, S. Perna +7
This study conducts a comprehensive investigation into the reversal mechanism of magnetic vortex cores in a nanopillar system composed of two coupled ferromagnetic dots under zero…