173 citations · 409 across the 25 of their papers we have counts for
10 papers · 1 filter
A magneto-mechanical gyroscope with spintronic readout
Andrea Meo, Francesca Garesci, Pedro Bossi Nunez +10
Gyroscopes are essential elements in navigation, consumer electronics, robotics, and aerospace applications. Most micro electro-mechanical systems (MEMS) implementations rely on ca…
Fractional parametric resonance in spintronic diodes
Andrea Grimaldi, Denys Slobodianiuk, Eleonora Raimondo +7
Parametric pumping is a powerful tool for the excitation, amplification, and processing of oscillations and waves of different nature. In general, parametric resonance can occur wh…
A GPU-based Solver for Polarization Dynamics in Ferroelectric Materials
Ali Hasan, Edoardo Piccolo, Anna Giordano +4
Ferroelectric materials can be used for the development of multiple device concepts combining non-volatility, small dimensions, low-power actuation, and electrical tunability. Such…
Physics-Inspired Probabilistic Computing for Extremely Large-Scale MIMO Detection in Future 6G Wireless Systems
Andrea Grimaldi, Christian Duffee, Eleonora Raimondo +8
Extremely large-scale multiple-input multiple-output (XL-MIMO) architectures are a key enabler of forthcoming 6G wireless communication networks by allowing high data rates through…
Bias-Engineered Synthetic Antiferromagnets Hosting sub-20 nm Zero-Field Skyrmions at Room Temperature
Emily Darwin, Riccardo Tomasello, Reshma Peremadathil Pradeep +3
Synthetic antiferromagnetic skyrmions (SAFsk) are nanoscale, topologically protected spin textures with strong potential for spintronic technologies because of their high stability…
A CMOS-compatible, scalable and compact magnetoelectric spin-torque microwave detector
Shuhui Liu, Riccardo Tomasello, Bin Fang +10
The development of compact and highly sensitive microwave detectors compatible with complementary-metal-oxide-semiconductor (CMOS) processes is an active research area but remains…
Remotely programming the weights of a spintronic neural network by a radiofrequency broadcast signal
M. Menshawy, D. Sanz-Hernández, L. Mazza +7
Selectively programming large number of non-volatile synaptic weights without compromising scalability is a key challenge for in-memory computing. Here, we demonstrate remote progr…
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,…
The 2026 Skyrmionics Roadmap
Sabri Koraltan, Claas Abert, Manfred Albrecht +64
Magnetic skyrmions and related topological spin textures have emerged as a central topic in condensed-matter physics, combining fundamental significance with potential for transfor…