Evidence map›Paper›PMID 35208388›Full record

ArticleMicromachines2022

Investigation of the Contact Characteristics of Silicon-Gold in an Anodic Bonding Structure.

Lin Zhang, Kaicong Cao, Longqi Ran, Huijun Yu, Wu Zhou

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lin ZhangSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Kaicong CaoSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Longqi RanSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Huijun YuSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Wu ZhouSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0001-8676-0980

Funding

National Natural Science Foundation of China 52075082
6 · The paper itself

Abstract

Anodic bonding is broadly utilized to realize the structure support and electrical connection in the process of fabrication and packaging of MEMS devices, and the mechanical and electrical characteristics of the bonded interface of structure exhibit a significant impact on the stability and reliability of devices. For the anodic bonding structure, including the gold electrode of micro accelerometers, the elastic/plastic contact model of a gold-silicon rough surface is established based on Hertz contact theory to gain the contact area and force of Gauss surface bonding. The trans-scale finite element model of a silicon-gold glass structure is built in Workbench through the reconstruction of Gauss surface net by the reverse engineering technique. The translation load is added to mimic the process of contact to acquire the contact behaviors through the coupling of mechanical and electrical fields, and then the change law of contact resistance is obtained. Finally, the measurement shows a good agreement between the experimental results, theoretical analysis and simulation, which indicates there is almost no change of resistance when the surface gap is less than 20 nm and the resistance is less than 5Ω, while the resistance changes rapidly after the gap exceeds 20 nm.

Indexed as

anodic bondingcontact characteristicscontact resistanceMEMS

Identifiers

PMID35208388
PMCPMC8877159

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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.