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Macroscale non-local transfer of superconducting signatures to a ferromagnet in a cavity

Mesoscale and Nanoscale Physics · Submitted 22 Jun 2020

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Here we show that by including superconductors in the cavity, we can make use of these principles to bring composite superconductor--ferromagnet systems to the macroscale.

how it is stated · asserted 0.98 read the record →

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arXiv ID2006.12516 (version 2)
Pith ID4AFQNTJE, Pith's permanent record of this paper and its review
CitationAkashdeep Kamra, Andreas T. G. Janss{\o}nn, Arne Brataas, Haakon T. Simensen, Sol H. Jacobsen. "Macroscale non-local transfer of superconducting signatures to a ferromagnet in a cavity." arXiv:2006.12516 (2020). https://pith.science/paper/4AFQNTJE
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 2,961 input tokens.

What the abstract itself states, as probabilities: claims first 0.10 · states limitation 0.08 · human participants 0.01 · controlled comparison 0.05 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.36 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

Cavity spintronics recently heralded non-local magnonic signal transfer between magnetic samples. Here we show that by including superconductors in the cavity, we can make use of these principles to bring composite superconductor--ferromagnet systems to the macroscale. We analyze how a superconductor's a.c. conductivity influences the spin dynamics of a spatially separated magnet, and we discuss the potential impact on spintronic applications.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Cavity spintronics recently heralded non-local magnonic signal transfer between magnetic samples. background 1.00 0.04 0.03 asserted 0.97
s1 Here we show that by including superconductors in the cavity, we can make use of these principles to bring composite superconductor--ferromagnet systems to the macroscale. contribution 0.99 0.83 0.61 asserted 0.98
s2 We analyze how a superconductor's a.c. conductivity influences the spin dynamics of a spatially separated magnet, and we discuss the potential impact on spintronic applications. contribution 0.92 0.80 0.17 hedged possibility 0.33

What kind of paper the classifier reports this is: theoretical result 0.76 · evidence from proof or derivation 0.39.

What was examined, and what was not

sources read
  • arXiv listing abstract v2
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Cavity spintronics recently heralded non-local magnonic signal transfer between magnetic samples. Here we show that by including superconductors in the cavity, we can make use of these principles to bring composite superconductor--ferromagnet systems to the macroscale. We analyze how a superconductor's a.c. conductivity influences the spin dynamics of a spatially separated magnet, and we discuss the potential impact on spintronic applications.

Human review
How the literature uses it

2 arXiv papers cite this in 2 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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