Learning through ferroelectric domain dynamics in solid-state synapses

Learning through ferroelectric domain dynamics in solid-state synapses

Accurate modelling of memristor dynamics is essential for the development of autonomous learning in artificial neural networks. Through a combined theoretical and experimental study of the polarization switching process in ferroelectric memristors, Boynet al. establish a model that enables learning...

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Bibliographic Details
Main Authors: Sören Boyn, Julie Grollier, Gwendal Lecerf, Bin Xu, Nicolas Locatelli, Stéphane Fusil, Stéphanie Girod, Cécile Carrétéro, Karin Garcia, Stéphane Xavier, Jean Tomas, Laurent Bellaiche, Manuel Bibes, Agnès Barthélémy, Sylvain Saïghi, Vincent Garcia
Format: Article
Language:English
Published: Nature Portfolio 2017-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/ncomms14736

Internet

https://doi.org/10.1038/ncomms14736

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