Evidence map›Paper›PMID 38793235›Full record

ArticleMicromachines2024

High-Dynamic-Range Integrated NV Magnetometers.

Tianning Wang, Zhenhua Liu, Yankang Liu, Bo Wang, Yuanyuan Shen, Li Qin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2024. 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. 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

6 authors.

Tianning WangState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Zhenhua LiuState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Yankang LiuState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Bo WangState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Yuanyuan ShenState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Li QinState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.

Funding

National Key Research and Development Program of China 2022YFC2204104Shanxi international joint laboratory of quantum sensing and precision measurement 202204041101015Shanxi Outstanding Youth Fund 202103021221007Shanxi province key laboratory of quantum sensing and precision measurement 201905D121001the International Cooperation and Exchange Project of the National Natural Science Foundation of China 62220106012
6 · The paper itself

Abstract

High-dynamic-range integrated magnetometers demonstrate extensive potential applications in fields involving complex and changing magnetic fields. Among them, Diamond Nitrogen Vacancy Color Core Magnetometer has outstanding performance in wide-range and high-precision magnetic field measurement based on its inherent high spatial resolution, high sensitivity and other characteristics. Therefore, an innovative frequency-tracking scheme is proposed in this study, which continuously monitors the resonant frequency shift of the NV color center induced by a time-varying magnetic field and feeds it back to the microwave source. This scheme successfully expands the dynamic range to 6.4 mT, approximately 34 times the intrinsic dynamic range of the diamond nitrogen-vacancy (NV) center. Additionally, it achieves efficient detection of rapidly changing magnetic field signals at a rate of 0.038 T/s.

Indexed as

diamond NV centershigh dynamic rangeintegrated magnetometermagnetic field measurement

Identifiers

PMID38793235
PMCPMC11122954

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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.