1 citations · 1 across the 13 of their papers we have counts for
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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…