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Graphene Oxide Memristors for Artificial Neural Networks

Adrian Balan 1 Yu-Pu Lin 1 Paolo Bondavalli 2 Théo Cabaret 1 Vincent Derycke 1 
1 LICSEN - Laboratoire Innovation en Chimie des Surfaces et NanoSciences
NIMBE UMR 3685 - Nanosciences et Innovation pour les Matériaux, la Biomédecine et l'Energie (ex SIS2M)
2 Thales Research and Technology [Palaiseau]
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Conference poster
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https://hal-cea.archives-ouvertes.fr/cea-02352711
Contributor : Serge Palacin Connect in order to contact the contributor
Submitted on : Thursday, November 7, 2019 - 7:36:15 AM
Last modification on : Saturday, October 8, 2022 - 4:09:41 AM

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  • HAL Id : cea-02352711, version 1

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CEA | CNRS | PUBNIMBE | INC-CNRS | IRAMIS-NIMBE | CEA-UPSAY | UNIV-PARIS-SACLAY | GS-ENGINEERING | IRAMIS | GS-CHIMIE | INSTITUT-SCIENCES-LUMIERE

Citation

Adrian Balan, Yu-Pu Lin, Paolo Bondavalli, Théo Cabaret, Vincent Derycke. Graphene Oxide Memristors for Artificial Neural Networks. GDR-I Graphene and Nanotubes, Nov 2015, Aussois, France. ⟨cea-02352711⟩

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