Observation of Magnetic Radial Vortex Nucleation in a Multilayer Stack with Tunable Anisotropy View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Vedat Karakas, Aisha Gokce, Ali Taha Habiboglu, Sevdenur Arpaci, Kaan Ozbozduman, Ibrahim Cinar, Cenk Yanik, Riccardo Tomasello, Silvia Tacchi, Giulio Siracusano, Mario Carpentieri, Giovanni Finocchio, Thomas Hauet, Ozhan Ozatay

ABSTRACT

Recently discovered exotic magnetic configurations, namely magnetic solitons appearing in the presence of bulk or interfacial Dzyaloshinskii-Moriya Interaction (i-DMI), have excited scientists to explore their potential applications in emerging spintronic technologies such as race-track magnetic memory, spin logic, radio frequency nano-oscillators and sensors. Such studies are motivated by their foreseeable advantages over conventional micro-magnetic structures due to their small size, topological stability and easy spin-torque driven manipulation with much lower threshold current densities giving way to improved storage capacity, and faster operation with efficient use of energy. In this work, we show that in the presence of i-DMI in Pt/CoFeB/Ti multilayers by tuning the magnetic anisotropy (both in-plane and perpendicular-to-plane) via interface engineering and postproduction treatments, we can stabilize a variety of magnetic configurations such as Néel skyrmions, horseshoes and most importantly, the recently predicted isolated radial vortices at room temperature and under zero bias field. Especially, the radial vortex state with its absolute convergence to or divergence from a single point can potentially offer exciting new applications such as particle trapping/detrapping in addition to magnetoresistive memories with efficient switching, where the radial vortex state can act as a source of spin-polarized current with radial polarization. More... »

PAGES

7180

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-25392-x

DOI

http://dx.doi.org/10.1038/s41598-018-25392-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103754083

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29739995


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-25392-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-25392-x'

Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-25392-x'


 

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