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20112026
most citedVowel recognition with four coupled spin-torque nano-oscillators

582 citations · 3.3k across the 55 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

physics.app-ph2019★ 5 cited

Opportunities and challenges for spintronics in the microelectronic industry

Bernard Dieny, Ioan Lucian Prejbeanu, Kevin Garello +22

Spin-based electronics has evolved into a major field of research that broadly encompasses different classes of materials, magnetic systems, and devices. This review describes rece…

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,…

cond-mat.mes-hall2019★ 13 cited

Low offset frequency flicker noise in spin torque vortex oscillators

Steffen Wittrock, Sumito Tsunegi, Kay Yakushiji +9

Low frequency noise close to the carrier remains little explored in spin torque nano oscillators. However, it is crucial to investigate as it limits the oscillator's frequency stab…

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★ 33 cited

Analog and digital phase modulation of spin torque nano-oscillators

A. Litvinenko, P. Sethi, C. Murapaka +6

Spin torque nano-oscillators (STNO) are nanoscale devices with wide band frequency tunability. Their multifunctional RF properties are well suited to define novel schemes for wirel…

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…