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Classification of multi-frequency RF signals by extreme learning, using magnetic tunnel junctions as neurons and synapses
Nathan Leroux, Danijela Marković, Dédalo Sanz-Hernández +8
Extracting information from radiofrequency (RF) signals using artificial neural networks at low energy cost is a critical need for a wide range of applications from radars to healt…
Flicker and random telegraph noise between gyrotropic and dynamic C-state of a vortex based spin torque nano oscillator
Steffen Wittrock, Philippe Talatchian, Miguel Romera +8
Vortex based spin torque nano oscillators (STVOs) can present more complex dynamics than the spin torque induced gyrotropic (G) motion of the vortex core. The respective dynamic mo…
Beyond the gyrotropic motion: dynamic C-state in vortex spin torque oscillators
Steffen Wittrock, Philippe Talatchian, Miguel Romera Rabasa +9
In the present study, we investigate a dynamical mode beyond the gyrotropic (G) motion of a magnetic vortex core in a confined magnetic disk of a nano-pillar spin torque nano oscil…
Tunable stochasticity in an artificial spin network
Dédalo Sanz-Hernández, Maryam Massouras, Nicolas Reyren +9
Metamaterials present the possibility of artificially generating advanced functionalities through engineering of their internal structure. Artificial spin networks, in which a larg…
Wireless communication between two magnetic tunnel junctions acting as oscillator and diode
Danijela Marković, Nathan Leroux, Alice Mizrahi +7
Magnetic tunnel junctions are nanoscale spintronic devices with microwave generation and detection capabilities. Here we use the rectification effect called "spin-diode" in a magne…
Influence of flicker noise and nonlinearity on the frequency spectrum of spin torque nano-oscillators
Steffen Wittrock, Philippe Talatchian, Sumito Tsunegi +12
The correlation of phase fluctuations in any type of oscillator fundamentally defines its spectral shape. However, in nonlinear oscillators, such as spin torque nano oscillators, t…