Crossbar operation of BiFeO3/Ce–CaMnO3 ferroelectric tunnel junctions: From materials to integration

Ferroelectric Tunnel Junctions (FTJs) are a candidate for the hardware realization of synapses in artificial neural networks. The fabrication process for a 784 × 100 crossbar array of 500 nm large FTJs, exhibiting effective On/Off currents ratio in the range 50–100, is presented. First, the epitaxia...

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Veröffentlicht in:	Journal of materials research 2023-10, Vol.38 (19), p.4335-4344
Hauptverfasser:	Halter, Mattia, Morabito, Elisabetta, Olziersky, Antonis, Carrétéro, Cécile, Chanthbouala, André, Falcone, Donato Francesco, Offrein, Bert Jan, Bégon-Lours, Laura
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied and Technical Physics Arrays Artificial neural networks Biomaterials Chemistry and Materials Science Circuit design Coercivity Design optimization Electrodes Ferroelectric materials Ferroelectricity Heterostructures Inorganic Chemistry Invited Feature Paper Materials Engineering Materials research Materials Science Nanotechnology Oxidation Synapses Tunnel junctions Unsupervised learning
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