Evidence map›Paper›PMID 37630053›Full record

ArticleMicromachines2023

Formation of Paramagnetic Defects in the Synthesis of Silicon Carbide.

Nain Mukesh, Bence G Márkus, Nikoletta Jegenyes, Gábor Bortel, Sarah M Bezerra, Ferenc Simon, David Beke, Adam Gali

Abstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Nain MukeshInstitute of Physics, ELTE Eötvös Loránd University, Egyetem tér 1-3., H-1053 Budapest, Hungary.
Bence G MárkusWigner Research Centre for Physics, Institute for Solid State Physics and Optics, H-1525 Budapest, Hungary.ORCID 0000-0003-1472-0482
Nikoletta JegenyesWigner Research Centre for Physics, Institute for Solid State Physics and Optics, H-1525 Budapest, Hungary.ORCID 0000-0003-1561-4884
Gábor BortelWigner Research Centre for Physics, Institute for Solid State Physics and Optics, H-1525 Budapest, Hungary.
Sarah M BezerraWigner Research Centre for Physics, Institute for Solid State Physics and Optics, H-1525 Budapest, Hungary.ORCID 0000-0003-0924-9075
Ferenc SimonWigner Research Centre for Physics, Institute for Solid State Physics and Optics, H-1525 Budapest, Hungary.
David BekeWigner Research Centre for Physics, Institute for Solid State Physics and Optics, H-1525 Budapest, Hungary.
Adam GaliWigner Research Centre for Physics, Institute for Solid State Physics and Optics, H-1525 Budapest, Hungary.ORCID 0000-0002-3339-5470

Funding

National Research, Development and Innovation Office 2022-2.1.1-NL-2022-00004
6 · The paper itself

Abstract

Silicon carbide (SiC) is a very promising platform for quantum information processing, as it can host room temperature solid state defect quantum bits. These room temperature quantum bits are realized by paramagnetic silicon vacancy and divacancy defects in SiC that are typically introduced by irradiation techniques. However, irradiation techniques often introduce unwanted defects near the target quantum bit defects that can be detrimental for the operation of quantum bits. Here, we demonstrate that by adding aluminum precursor to the silicon and carbon sources, quantum bit defects are created in the synthesis of SiC without any post treatments. We optimized the synthesis parameters to maximize the paramagnetic defect concentrations-including already established defect quantum bits-monitored by electron spin resonance spectroscopy.

Indexed as

electron paramagnetic resonance (EPR)photoluminescencesolid state quantum defects

Identifiers

PMID37630053
PMCPMC10456762

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.