activity
20122026
most citedSkyrmion Gas Manipulation for Probabilistic Computing

203 citations · 690 across the 23 of their papers we have counts for

collaborators

23 papers

cond-mat.mes-hall2026

The Deformed Image Vortex Ansatz: A Perturbation-Aware Description of Magnetic Vortices in In-Plane Fields

Thomas G. Coppée, Colin Ducarme, Simon de Wergifosse +1

Thiele-based descriptions of magnetic vortex dynamics in thin ferromagnetic nanodots rely on magnetization ansätze that describe the equilibrium texture but cannot represent pertur…

cond-mat.mes-hall2023★ 4 cited

Thermoelectric and magneto-transport characteristics of interconnected networks of ferromagnetic nanowires and nanotubes

Tristan da Câmara Santa Clara Gomes, Nicolas Marchal, Joaquín de la Torre Medina +2

Macroscopic-scale nanostructures, situated at the interface of nanostructures and bulk materials, hold significant promise in the realm of thermoelectric materials. Nanostructuring…

cs.CV2023

Spintronics for image recognition: performance benchmarking via data-driven simulations

Anatole Moureaux, Chloé Chopin, Simon de Wergifosse +2

We present a demonstration of image classification using an extreme learning machine (ELM) based on a unique simulated magnetic tunnel junction (MTJ) delayed in time. As the ground…

cs.CV2023

Neuromorphic spintronics simulated using an unconventional data-driven Thiele equation approach

Anatole Moureaux, Simon de Wergifosse, Chloé Chopin +1

In this study, we developed a quantitative description of the dynamics of spin-torque vortex nano-oscillators (STVOs) through an unconventional model based on the combination of th…

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★ 3 cited

Neuromorphic spintronics accelerated by an unconventional data-driven Thiele equation approach

Anatole Moureaux, Simon De Wergifosse, Chloé Chopin +2

We design a neural network based on a single spin-torque vortex nano-oscillator (STVO) multiplexed in time. The behavior of the STVO is simulated with an improved ultra-fast and qu…

cond-mat.mes-hall2022★ 5 cited

Memristive and tunneling effects in 3D interconnected silver nanowires

Chloé Chopin, Simon De Wergifosse, Nicolas Marchal +3

Due to their memristive properties nanowire networks are very promising for neuromorphic computing applications. Indeed, the resistance of such systems can evolve with the input vo…

cond-mat.mes-hall2022★ 3 cited

Data-driven Thiele equation approach for solving the full nonlinear spin-torque vortex oscillator dynamics

Flavio Abreu Araujo, Chloé Chopin, Simon De Wergifosse

The dynamics of vortex based spin-torque nano-oscillators is investigated theoretically. Starting from a fully analytical model based on the Thiele equation approach, fine-tuned da…

cond-mat.mes-hall2022★ 4 cited

Quantitative and realistic description of the magnetic potential energy of spin-torque vortex oscillators

Simon De Wergifosse, Chloé Chopin, Flavio Abreu Araujo

Understanding the dynamics of magnetic vortices has emerged as an important challenge regarding the recent development of spin-torque vortex oscillators. Either micromagnetic simul…

cs.LG2021★ 45 cited

Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

Xing Chen, Flavio Abreu Araujo, Mathieu Riou +6

Deep learning has an increasing impact to assist research, allowing, for example, the discovery of novel materials. Until now, however, these artificial intelligence techniques hav…

physics.app-ph2019★ 20 cited

Designing large arrays of interacting spin-torque nano-oscillators for microwave information processing

Philippe Talatchian, Miguel Romera, Flavio Abreu Araujo +6

Arrays of spin-torque nano-oscillators are promising for broadband microwave signal detection and processing, as well as for neuromorphic computing. In many of these applications,…

physics.app-ph2019★ 78 cited

Temporal pattern recognition with delayed feedback spin-torque nano-oscillators

M. Riou, J. Torrejon, B. Garitaine +11

The recent demonstration of neuromorphic computing with spin-torque nano-oscillators has opened a path to energy efficient data processing. The success of this demonstration hinged…

physics.app-ph2019

Microwave neural processing and broadcasting with spintronic nano-oscillators

P. Talatchian, M. Romera, S. Tsunegi +14

Can we build small neuromorphic chips capable of training deep networks with billions of parameters? This challenge requires hardware neurons and synapses with nanometric dimension…

cs.ET2019★ 12 cited

Neuromorphic Computing through Time-Multiplexing with a Spin-Torque Nano-Oscillator

M. Riou, F. Abreu Araujo, J. Torrejon +11

Fabricating powerful neuromorphic chips the size of a thumb requires miniaturizing their basic units: synapses and neurons. The challenge for neurons is to scale them down to submi…

physics.app-ph2018★ 120 cited

Reservoir computing with the frequency, phase and amplitude of spin-torque nano-oscillators

Danijela Marković, Nathan Leroux, Mathieu Riou +8

Spin-torque nano-oscillators can emulate neurons at the nanoscale. Recent works show that the non-linearity of their oscillation amplitude can be leveraged to achieve waveform clas…

cond-mat.mes-hall2017★ 15 cited

Controlling the synchronization properties of two dipolarly coupled vortex based spin-torque nano-oscillators by the intermediate of a third one

Flavio Abreu Araujo, Julie Grollier

In this paper, we propose to control the strength of phase-locking between two dipolarly coupled vortex based spin-torque nano-oscillators by placing an intermediate oscillator bet…

cond-mat.mes-hall2017★ 203 cited

Skyrmion Gas Manipulation for Probabilistic Computing

Daniele Pinna, Flavio Abreu Araujo, Joo-Von Kim +5

The topologically protected magnetic spin configurations known as skyrmions offer promising applications due to their stability, mobility and localization. In this work, we emphasi…

cs.ET2017

Neuromorphic computing with nanoscale spintronic oscillators

Jacob Torrejon, Mathieu Riou, Flavio Abreu Araujo +10

Neurons in the brain behave as non-linear oscillators, which develop rhythmic activity and interact to process information. Taking inspiration from this behavior to realize high de…

cond-mat.mes-hall2015★ 36 cited

Optimizing magneto-dipolar interactions for synchronizing vortex based spin-torque nano-oscillators

F. Abreu Araujo, A. D. Belanovsky, P. N. Skirdkov +8

We report on a theoretical study about the magneto-dipolar coupling and synchronization between two vortex-based spin-torque nano-oscillators. In this work we study the dependence…

cond-mat.mes-hall2014★ 33 cited

Nonlinear behavior and mode coupling in spin transfer nano-oscillators

Romain Lebrun, Nicolas Locatelli, Flavio Abreu Araujo +7

By investigating thoroughly the tunable behavior of coupled modes, we highlight how it provides new means to handle the properties of spin transfer nano-oscillators. We first demon…

cond-mat.mes-hall2013

Non-Adlerian synchronization of dipolar coupled vortex Spin-Torque Nano-Oscillators

A. D. Belanovsky, N. Locatelli, P. N. Skirdkov +5

We investigate analytically and numerically the synchronization dynamics of dipolarly coupled vortex based Spin-Torque Nano Oscillators (STNO) with different pillar diameters. We i…

cond-mat.mtrl-sci2013★ 19 cited

Single spin-torque vortex oscillator using combined bottom-up approach and e-beam lithography

F. Abreu Araujo, L. Piraux, V. A. Antohe +2

A combined bottom-up assembly of electrodeposited nanowires and electron beam lithography technique has been developed to investigate the spin transfer torque and microwave emissio…

cond-mat.mes-hall2012★ 90 cited

Phase locking dynamics of dipolarly coupled vortex-based spin transfer oscillators

A. D. Belanovsky, N. Locatelli, P. N. Skirdkov +5

Phase locking dynamics of dipolarly coupled vortices excited by spin-polarized current in two identical nanopillars is studied as a function of the interpillar distance L. Numerica…