Evidence map›Paper›PMID 36558279›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Superconducting Valve Exploiting Interplay between Spin-Orbit and Exchange Interactions.

Alexey Neilo, Sergey Bakurskiy, Nikolay Klenov, Igor Soloviev, Mikhail Kupriyanov

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Tunnel Josephson Junction with Spin-Orbit/Ferromagnetic Valve.Nanomaterials (Basel, Switzerland) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alexey NeiloNational University of Science and Technology MISIS, 119049 Moscow, Russia.
Sergey BakurskiyNational University of Science and Technology MISIS, 119049 Moscow, Russia.
Nikolay KlenovNational University of Science and Technology MISIS, 119049 Moscow, Russia.ORCID 0000-0001-6265-3670
Igor SolovievNational University of Science and Technology MISIS, 119049 Moscow, Russia.ORCID 0000-0001-9735-2720
Mikhail KupriyanovNational University of Science and Technology MISIS, 119049 Moscow, Russia.ORCID 0000-0003-1204-9664

Funding

Russian Science Foundation 22-79-10018Strategic Academic Leadership Program "Priority-2030" (NUST MISIS) K2- 318 2022-029
6 · The paper itself

Abstract

We theoretically investigated the proximity effect in SNSOF and SF'F structures consisting of a superconductor (S), a normal metal (NSO), and ferromagnetic (F',F) thin films with spin-orbit interaction (SOI) in the NSO layer. We show that a normal layer with spin-orbit interaction effectively suppresses triplet correlations generated in a ferromagnetic layer. Due to this effect, the critical temperature of the superconducting layer in the SNSOF multilayer turns out to be higher than in a similar multilayer without spin-orbit interaction in the N layer. Moreover, in the presence of a mixed type of spin-orbit interaction involving the Rashba and Dresselhaus components, the SNSOF structure is a spin valve, whose critical temperature is determined by the direction of the magnetization vector in the F layer. We calculated the control characteristics of the SNSOF spin valve and compared them with those available in traditional SF'F devices with two ferromagnetic layers. We concluded that SNSOF structures with one controlled F layer provide solid advantages over the broadly considered SF'F spin valves, paving the way for high-performance storage components for superconducting electronics.

Indexed as

magnetismnanostructurespin-orbit interactionspin-valvesuperconductivity

Identifiers

PMID36558279
PMCPMC9785097

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.