activity
20162026
most citedReservoir computing with the frequency, phase and amplitude of spin-torque nano-oscillators

120 citations · 144 across the 5 of their papers we have counts for

collaborators

5 papers

cs.ET2026

Fast simulation of nonlinear deep resistive networks for energy-based computation

Filip Osana, Julie Grollier, Damien Querlioz

Deep resistive networks are electronic energy-based systems in which computation is performed by the steady-state voltages of nonlinear circuits. Nonlinear devices enable expressiv…

cs.NE2024★ 1 cited

Unsupervised End-to-End Training with a Self-Defined Target

Dongshu Liu, Jérémie Laydevant, Adrien Pontlevy +2

Designing algorithms for versatile AI hardware that can learn on the edge using both labeled and unlabeled data is challenging. Deep end-to-end training methods incorporating phase…

cond-mat.mtrl-sci2023★ 6 cited

Control of the magnetic anisotropy in multi-repeat Pt/Co/Al heterostructures using magneto-ionic gating

Tristan da Câmara Santa Clara Gomes, Tanvi Bhatnagar-Schöffmann, Sachin Krishnia +14

Controlling magnetic properties through the application of an electric field is a significant challenge in modern nanomagnetism. In this study, we investigate the magneto-ionic con…

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-hall2016★ 17 cited

Synchronization of electrically coupled stochastic magnetic oscillators induced by thermal and electrical noise

A. Mizrahi, N. Locatelli, J. Grollier +1

Superparamagnetic tunnel junctions are nanostructures that auto-oscillate stochastically under the effect of thermal noise. Recent works showed that despite their stochasticity, su…