Evidence map›Paper›PMID 35558167›Full record

ArticleAdvanced materials technologies2021

Curvature and Stress Effects on the Performance of Contour-Mode Resonant ΔE Effect Magnetometers.

Alexei D Matyushov, Benjamin Spetzler, Mohsen Zaeimbashi, James Zhou, Zhenyun Qian, Elizaveta V Golubeva, Cheng Tu, Yingxue Guo, Brian F Chen, Damo Wang and 6 more

Abstract read
In one paragraph

Article in Advanced materials technologies, 2021. 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
  3. 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

16 authors.

Alexei D MatyushovDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
Benjamin SpetzlerInstitute of Material Science, Kiel University, 24118 Kiel, Germany.
Mohsen ZaeimbashiDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
James ZhouDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
Zhenyun QianDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
Elizaveta V GolubevaInstitute of Material Science, Kiel University, 24118 Kiel, Germany.
Cheng TuDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
Yingxue GuoDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
Brian F ChenDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
Damo WangDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
Alexandria Will-ColeDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
Huaihao ChenDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
Matteo RinaldiDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
Jeffrey McCordInstitute of Material Science, Kiel University, 24118 Kiel, Germany.
Franz FaupelInstitute of Material Science, Kiel University, 24118 Kiel, Germany.
Nian X SunDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.

Funding

Novel Implantable Smart Magnetoelectric NanoRFIDs for Large-Scale Neural Magnetic Recording and ModulationUF1NS107694 · NINDS · NORTHEASTERN UNIVERSITY · PI CASH, SYDNEY S, SUN, NIAN XIANG · 2018 to 2018
$1.8M
NINDS NIH HHS UF1 NS107694
6 · The paper itself

Abstract

Miniaturized piezoelectric/magnetostrictive contour-mode resonators have been shown to be effective magnetometers by exploiting the ΔE effect. With dimensions of ~100-200 μm across and <1 μm thick, they offer high spatial resolution, portability, low power consumption, and low cost. However, a thorough understanding of the magnetic material behavior in these devices has been lacking, hindering performance optimization. This manuscript reports on the strong, nonlinear correlation observed between the frequency response of these sensors and the stress-induced curvature of the resonator plate. The resonance frequency shift caused by DC magnetic fields drops off rapidly with increasing curvature: about two orders of magnitude separate the highest and lowest frequency shift in otherwise identical devices. Similarly, an inverse correlation with the quality factor was found, suggesting a magnetic loss mechanism. The mechanical and magnetic properties are theoretically analyzed using magnetoelastic finite-element and magnetic domain-phase models. The resulting model fits the measurements well and is generally consistent with additional results from magneto-optical domain imaging. Thus, the origin of the observed behavior is identified and broader implications for the design of nano-magnetoelastic devices are derived. By fabricating a magnetoelectric nano-plate resonator with low curvature, a record-high DC magnetic field sensitivity of 5 Hz/nT is achieved.

Indexed as

delta-E effectmagnetic field sensormagnetoelasticmagnetoelectricMEMSresidual stressresonator

Identifiers

PMID35558167
PMCPMC9090164

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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.