Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/271056
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Dynamic electric-field-induced magnetic effects in cobalt oxide thin films: Towards magneto-ionic synapses

AutorMartins, Sofia; Rojas, Julius de; Tan, Zhengwei; Cialone, Matteo; Lopeandía, Aitor; Herrero Martín, Javier CSIC ORCID; Costa Krämer, José Luis CSIC ORCID ; Menéndez, Enric CSIC ORCID; Sort, Jordi CSIC ORCID
Fecha de publicación21-ene-2022
EditorRoyal Society of Chemistry (UK)
CitaciónNanoscale 14(3): 842-852 (2022)
ResumenVoltage control of magnetism via electric-field-driven ion migration (magneto-ionics) has generated intense interest due to its potential to greatly reduce heat dissipation in a wide range of information technology devices, such as magnetic memories, spintronic systems or artificial neural networks. Among other effects, oxygen ion migration in transition-metal-oxide thin films can lead to the generation or full suppression of controlled amounts of ferromagnetism ('ON-OFF' magnetic transitions) in a non-volatile and fully reversible manner. However, oxygen magneto-ionic rates at room temperature are generally considered too slow for industrial applications. Here, we demonstrate that sub-second ON-OFF transitions in electrolyte-gated paramagnetic cobalt oxide films can be achieved by drastically reducing the film thickness from >200 nm down to 5 nm. Remarkably, cumulative magneto-ionic effects can be generated by applying voltage pulses at frequencies as high as 100 Hz. Neuromorphic-like dynamic effects occur at these frequencies, including potentiation (cumulative magnetization increase), depression (i.e., partial recovery of magnetization with time), threshold activation, and spike time-dependent magnetic plasticity (learning and forgetting capabilities), mimicking many of the biological synapse functions. The systems under investigation show features that could be useful for the design of artificial neural networks whose magnetic properties would be governed with voltage.
Versión del editorhttp://doi.org/10.1039/d1nr06210g
URIhttp://hdl.handle.net/10261/271056
DOI10.1039/d1nr06210g
Identificadoresissn: 2040-3372
Aparece en las colecciones: (IMN-CNM) Artículos
(CIN2) Artículos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
Dynamic_electric_Martins_Postprint.pdfPostprint730,24 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

SCOPUSTM   
Citations

9
checked on 23-abr-2024

WEB OF SCIENCETM
Citations

9
checked on 21-feb-2024

Page view(s)

102
checked on 23-abr-2024

Download(s)

66
checked on 23-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.