5 papers · 1 filter
Laser-written reconfigurable energy landscapes and programmable Moiré spin textures
Matteo Panzeri, Piero Florio, Davide Girardi +18
Magnetic textures are central to emerging spintronic and unconventional computing technologies due to their rich dynamics, topological properties and nanoscale dimensions. A major…
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…
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…
Octupole-driven spin-transfer torque switching of all-antiferromagnetic tunnel junctions
Jaimin Kang, Mohammad Hamdi, Shun Kong Cheung +23
Magnetic tunnel junctions (MTJs) based on ferromagnets are canonical devices in spintronics, with wide-ranging applications in data storage, computing, and sensing. They simultaneo…
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…