N
Nicolas Locatelli
Researcher at Université Paris-Saclay
Publications - 72
Citations - 3810
Nicolas Locatelli is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Vortex & Artificial neural network. The author has an hindex of 27, co-authored 72 publications receiving 3117 citations. Previous affiliations of Nicolas Locatelli include University of Paris-Sud & Centre national de la recherche scientifique.
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Journal ArticleDOI
Spin-torque building blocks
TL;DR: By assembling magnetic nanodevices as building blocks with different functionalities, novel types of computing architecture can be envisaged, focus in particular on recent concepts such as magnonics and spintronic neural networks.
Journal ArticleDOI
Learning through ferroelectric domain dynamics in solid-state synapses.
Sören Boyn,Sören Boyn,Julie Grollier,Gwendal Lecerf,Bin Xu,Nicolas Locatelli,Stéphane Fusil,Stéphanie Girod,Stéphanie Girod,C. Carrétéro,Karin Garcia,Stéphane Xavier,Jean Tomas,Laurent Bellaiche,Manuel Bibes,Agnès Barthélémy,Sylvain Saïghi,Vincent Garcia +17 more
TL;DR: This work reports on synapses based on ferroelectric tunnel junctions and shows that STDP can be harnessed from inhomogeneous polarization switching and demonstrates that conductance variations can be modelled by the nucleation-dominated reversal of domains.
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Vowel recognition with four coupled spin-torque nano-oscillators
M. Romera,Philippe Talatchian,Sumito Tsunegi,Flavio Abreu Araujo,Flavio Abreu Araujo,Vincent Cros,Paolo Bortolotti,Juan Trastoy,Kay Yakushiji,Akio Fukushima,Hitoshi Kubota,Shinji Yuasa,Maxence Ernoult,Damir Vodenicarevic,Tifenn Hirtzlin,Nicolas Locatelli,Damien Querlioz,Julie Grollier +17 more
TL;DR: In this paper, the authors demonstrate that non-trivial pattern classification tasks can be achieved with small hardware neural networks by endowing them with nonlinear dynamical features such as oscillations and synchronization.
Journal ArticleDOI
Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems
Adrien F. Vincent,Jerome Larroque,Nicolas Locatelli,Nesrine Ben Romdhane,Olivier Bichler,Christian Gamrat,Weisheng Zhao,Jacques-Olivier Klein,S. Galdin-Retailleau,Damien Querlioz +9 more
TL;DR: It is shown that when used in a non-conventional regime, STT-MTJs can additionally act as a stochastic memristive device, appropriate to implement a “synaptic” function in robust, low power, cognitive-type systems.
Journal ArticleDOI
Vowel recognition with four coupled spin-torque nano-oscillators
M. Romera,Philippe Talatchian,Sumito Tsunegi,Flavio Abreu Araujo,Flavio Abreu Araujo,Vincent Cros,Paolo Bortolotti,Juan Trastoy,Kay Yakushiji,Akio Fukushima,Hitoshi Kubota,Shinji Yuasa,Maxence Ernoult,Damir Vodenicarevic,Tifenn Hirtzlin,Nicolas Locatelli,Damien Querlioz,Julie Grollier +17 more
TL;DR: The results demonstrate that non-trivial pattern classification tasks can be achieved with small hardware neural networks by endowing them with nonlinear dynamical features such as oscillations and synchronization, and that the high experimental recognition rates stem from the ability of these oscillators to synchronize.