Evidence map›Paper›PMID 35194114›Full record

ArticleScientific reports2022

High-precision micro-displacement sensor based on tunnel magneto-resistance effect.

Xuhu Wang, Wang Li, Li Jin, Meimei Gong, Junqiang Wang, Yujie Zhong, Yi Ruan, Chunhong Guo, Chenguang Xin, Mengwei Li

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

10 authors.

Xuhu WangSchool of Instrument and Electronics, North University of China, Taiyuan, 030051, Shanxi, China.
Wang LiSchool of Instrument and Electronics, North University of China, Taiyuan, 030051, Shanxi, China.
Li JinSchool of Instrument and Electronics, North University of China, Taiyuan, 030051, Shanxi, China. jinli0307@163.com.
Meimei GongAcademy for Advanced Interdisciplinary Research, North University of China, Taiyuan, 030051, Shanxi, China.
Junqiang WangSchool of Instrument and Electronics, North University of China, Taiyuan, 030051, Shanxi, China.
Yujie ZhongSchool of Instrument and Electronics, North University of China, Taiyuan, 030051, Shanxi, China.
Yi RuanSchool of Instrument and Electronics, North University of China, Taiyuan, 030051, Shanxi, China.
Chunhong GuoSchool of Instrument and Electronics, North University of China, Taiyuan, 030051, Shanxi, China.
Chenguang XinSchool of Instrument and Electronics, North University of China, Taiyuan, 030051, Shanxi, China.
Mengwei LiSchool of Instrument and Electronics, North University of China, Taiyuan, 030051, Shanxi, China. lmwnuc@163.com.

Funding

National Natural Science Foundation of China 62005253Science Foundation of North University of China XJJ201901Scientific and Technological Innovation Programs of Higher Education Institution in Shanxi 2020L0267Shanxi Province Science Foundation for Youths 201901D211277
6 · The paper itself

Abstract

A high-precision micro-displacement sensor based on tunnel magneto-resistance effect is reported.We designed and simulated magnetic characteristics of the sensor, and employed chip-level Au-In bonding to implement low-temperature assembly of the TMR devices. We employed the subdivision interpolation technique to enhance the resolution by translating the sine-cosine outputs of a TMR sensor into an output that varies linearly with the displacement. Simultaneously, using the multi-bridge circuit method to suppress external magnetic and geomagnetic interference. Experimental result shows that the micro-displacement sensor has a resolution of 800 nm, accuracy of 0.14[Formula: see text] and a full-scale range of up to millimeter level. This work enables a high-performance displacement sensor, and provides a significant guide for the design of a micro-displacement sensor in practical applications.

Identifiers

PMID35194114
PMCPMC8863979

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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.