Dataset for “A Multilevel Magnetic Synapse Based on Voltage-Tuneable Magnetism by Nitrogen Ion Migration”

DOI

This dataset contains the information on our recent work on multilevel magnetic synapses for neuromorphic applications and all the relevant data files. In the present work, we exploit voltage-driven nitrogen ion motion in transition metal nitride (CoFeN) thin films (i.e., nitrogen magneto-ionics) to emulate biological synapses. In the proposed device, we have realized distinct multilevel non-volatile magnetic states for analog computing and multi-state storage. Moreover, essential synaptic functionalities of the human brain have been successfully simulated. The device exhibits an excellent synapse with a remarkable retention time (∼ 6 months), high switching ratio and large endurance (∼103), for hardware implementation of NC. This research provides new insight into exploiting magneto-ionic-based synaptic devices for spin-based neuromorphic systems.

Description of methods used for collection-generation of data: Various experimental tools were employed in this line of work, such as magnetron sputter for the materials growth, magnetometry for magneto-electric study, X-ray photoelectron spectroscopy to analyze the chemical state of elements and scanning electron microscopy for structural inspections. Methods for processing the data: The data files can be processed using Origin software, PowerPoint, and CasaXPS software.

Identifier
DOI https://doi.org/10.34810/data761
Related Identifier IsCitedBy https://doi.org/10.1002/aelm.202300249
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data761
Provenance
Creator Monalisha, P. ORCID logo; Ma, Zheng ORCID logo; Pellicer Vilà, Eva Maria ORCID logo; Menéndez Dalmau, Enric ORCID logo; Sort Viñas, Jordi ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Sort Viñas, Jordi; Universitat Autònoma Barcelona
Publication Year 2023
Funding Reference European Commission 101054687 ; Agencia Estatal de Investigación PID2020-116844RB-C21 ; Agencia Estatal de Investigación PDC2021-121276-C31 ; Agència de Gestió d'Ajuts Universitaris i de Recerca 2021/SGR-00651
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Sort Viñas, Jordi (Universitat Autònoma de Barcelona. Departament de Física)
Representation
Resource Type Experimental data; Dataset
Format image/jpeg; text/plain; image/tiff; application/pdf
Size 39334; 69727; 6707; 187; 18252; 3886; 4645; 4958; 5963; 27910; 28378; 104916; 258223; 108; 27200; 68; 102; 258596; 109; 143899; 7813; 96356; 657628; 29737; 9525; 155940
Version 1.2
Discipline Natural Sciences; Physics