Evidence map›Paper›PMID 35808450›Full record

ArticleSensors (Basel, Switzerland)2022

Anisotropy of the ΔE Effect in Ni-Based Magnetoelectric Cantilevers: A Finite Element Method Analysis.

Bernd Hähnlein, Neha Sagar, Hauke Honig, Stefan Krischok, Katja Tonisch

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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

5 authors.

Bernd HähnleinTechnical Physics 1 Group, Institute of Micro- and Nanotechnologies (IMN MacroNano®), Technische Universität Ilmenau, Postfach 100565, 98684 Ilmenau, Germany.ORCID 0000-0002-1704-7476
Neha SagarTechnical Physics 1 Group, Institute of Micro- and Nanotechnologies (IMN MacroNano®), Technische Universität Ilmenau, Postfach 100565, 98684 Ilmenau, Germany.
Hauke HonigMaterials for Electronics and Electrical Engineering Group, Institute of Micro- and Nanotechnologies (IMN MacroNano®), Technische Universität Ilmenau, Postfach 100565, 98684 Ilmenau, Germany.ORCID 0000-0002-5079-043X
Stefan KrischokTechnical Physics 1 Group, Institute of Micro- and Nanotechnologies (IMN MacroNano®), Technische Universität Ilmenau, Postfach 100565, 98684 Ilmenau, Germany.ORCID 0000-0002-8458-4001
Katja TonischTechnical Physics 1 Group, Institute of Micro- and Nanotechnologies (IMN MacroNano®), Technische Universität Ilmenau, Postfach 100565, 98684 Ilmenau, Germany.

Funding

Free State of Thuringia and the European Social Fund 2017 FGR 0060
6 · The paper itself

Abstract

In recent investigations of magnetoelectric sensors based on microelectromechanical cantilevers made of TiN/AlN/Ni, a complex eigenfrequency behavior arising from the anisotropic ΔE effect was demonstrated. Within this work, a FEM simulation model based on this material system is presented to allow an investigation of the vibrational properties of cantilever-based sensors derived from magnetocrystalline anisotropy while avoiding other anisotropic contributions. Using the magnetocrystalline ΔE effect, a magnetic hardening of Nickel is demonstrated for the (110) as well as the (111) orientation. The sensitivity is extracted from the field-dependent eigenfrequency curves. It is found, that the transitions of the individual magnetic domain states in the magnetization process are the dominant influencing factor on the sensitivity for all crystal orientations. It is shown, that Nickel layers in the sensor aligned along the medium or hard axis yield a higher sensitivity than layers along the easy axis. The peak sensitivity was determined to 41.3 T

Indexed as

anisotropydelta E effectmagnetoelectric sensorNickel

Identifiers

PMID35808450
PMCPMC9269756

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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.