activity
20212026
most citedEnhancing Spin Transfer Torque in Magnetic Tunnel Junction Devices: Exploring the Influence of Capping Layer Materials and Thickness on Device Characteristics

7 citations · 15 across the 18 of their papers we have counts for

collaborators

18 papers

cond-mat.mes-hall2026

Deterministic control of the probabilistic phase dynamics in injection-locked spin-torque nano-oscillators

Abderrazak Hakam, Chloé Chopin, Nhat-Tan Phan +8

Spin-torque nano-oscillators (STNOs) inherently exhibit thermally driven phase fluctuations that render their dynamics truly stochastic. Here, we demonstrate that, despite this int…

physics.app-ph2026

Reconfigurable Multistate MRAM Synapses with Vortex STNO based Neurons for Scalable In-Memory Convolutional Neural Networks

Ravish Kumar Raj, Simon N. Richter, Saeed Baghaee Ivriq +9

Magnetic tunnel junction (MTJ)-based magnetic random-access memory (MRAM) is a promising platform for neuromorphic and in-memory computing owing to its non-volatility, high enduran…

cs.ET2026

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…

cond-mat.mes-hall2026

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,…

physics.app-ph2025

Bio-integrated Bots with Overtone Ultra-Wideband Magnetoelectric Antennas for Wireless Telemetry

Mahdieh Shojaei Baghini, Adam Armada-Moreira, Alessio Di Clemente +20

Implantable and wearable devices require antennas that are both miniaturized and efficient, yet conventional designs are constrained by narrow bandwidth and orientation sensitivity…

cond-mat.other2025

Experimental Study of a Vortex Spin-Torque Oscillator in an MTJ with a Vortex Polarizer

Maksim Stebliy, Alex Jenkins, Luana Benetti +1

Spin-torque nano-oscillators (STNOs) are promising nanoscale microwave sources for spintronic applications, serving as signal generators or elements in neuromorphic computing syste…

cond-mat.mtrl-sci2025

Time-resolved observation of magnon splitting into vortex gyration and Floquet spin waves

T. Devolder, R. Lopes Seeger, C. Heins +9

Forced excitations at frequencies in the range of the first order azimuthal spin waves of a magnetic disk in the vortex state are known to scatter into the vortex gyration mode, th…

cond-mat.other2025

Reconfiguration of a Magnetic Tunnel Junction as a Way to Turn It into a Field-Free Vortex Oscillator

Maksim Stebliy, Alex Jenkins, Luana Benetti +1

Magnetic tunnel junctions (MTJs) are key elements in practical spintronics, enabling not only conventional tasks such as data storage, transmission, and processing but also the imp…

physics.optics2025

Hybrid Opto-Electrical Excitation of Spin-Transfer Torque Nano-Oscillators for Advanced Computing

Felix Oberbauer, Tristan Joachim Winkel, Tim Böhnert +8

Neuromorphic computing, inspired by the brain's parallel and energy-efficient processing, offers a transformative approach to artificial intelligence. In this study, we fabricated…

physics.app-ph2024

Non-Volatile Analog Control and Reconfiguration of a Vortex Nano-Oscillator Frequency

Maksim Stebliy, Alex S. Jenkins, Luana Benetti +2

Magnetic tunnel junctions are nanoscale devices which have recently attracted interested in the context of frequency multiplexed spintronic neural networks, due to their interestin…

cond-mat.mtrl-sci2023

Unbiased Random Number Generation using Injection-Locked Spin-Torque Nano-Oscillators

Nhat-Tan Phan, Nitin Prasad, Abderrazak Hakam +9

Unbiased sources of true randomness are critical for the successful deployment of stochastic unconventional computing schemes and encryption applications in hardware. Leveraging na…

cond-mat.mes-hall2023★ 3 cited

The impact of local pinning sites in magnetic tunnel junctions with non-homogeneous free layers

Alex. S. Jenkins, Leandro Martins, Luana Benetti +7

Pinning at local defects is a significant road block for the successful implementation of technological paradigms which rely on the dynamic properties of non-trivial magnetic textu…

physics.optics2023★ 7 cited

Enhancing Spin Transfer Torque in Magnetic Tunnel Junction Devices: Exploring the Influence of Capping Layer Materials and Thickness on Device Characteristics

Tahereh Sadat Parvini, Elvira Paz, Tim Böhnert +7

We have developed and optimized two categories of spin transfer torque magnetic tunnel junctions (STT-MTJs) that exhibit a high tunnel magnetoresistance (TMR) ratio, low critical c…

cond-mat.mes-hall2023

A semi-analytical model to simulate the spin-diode effect and accelerate its use in neuromorphic computing

Chloé Chopin, Leandro Martins, Luana Benetti +4

The spin-diode effect is studied both experimentally and with our original semi-analytical method. The latter is based on an improved version of the Thiele equation approach (TEA)…

cs.ET2023

Spin-Orbit Torque Flash Analog-to-Digital Converter

Hamdam Ghanatian, Luana Benetti, Pedro Anacleto +4

Although Analog-to-digital converters (ADCs) are critical components in mixed-signal integrated circuits (IC), their performance has not been improved significantly over the last d…

cs.ET2022★ 5 cited

Multilayer spintronic neural networks with radio-frequency connections

Andrew Ross, Nathan Leroux, Arnaud de Riz +18

Spintronic nano-synapses and nano-neurons perform complex cognitive computations with high accuracy thanks to their rich, reproducible and controllable magnetization dynamics. Thes…

cond-mat.mes-hall2022

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…

cond-mat.mes-hall2021

Room temperature two terminal tunnel magnetoresistance in lateral graphene transistor

C. I. L. de Araujo, H. A. Teixeira, O. O. Toro +9

We investigate the behavior of both pure spin and spin-polarized currents measured with four probe non-local and two probe local configurations up to room temperature and under ext…