Evidence map›Paper›PMID 38930737›Full record

ArticleMicromachines2024

Etching Rate Analysis Model Based on Quartz Bond Angle Characteristics.

Xinjia Zhao, Chengbao Lv, Shuanqiang Song, Meng Zhao, Jing Ji

Abstract read
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. 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.

Xinjia ZhaoResearch Center for Applied Mechanics, School of Electro-Mechanical Engineering, Xidian University, No.2 South TaibaiRoad, Xi'an 710071, China.
Chengbao LvResearch Center for Applied Mechanics, School of Electro-Mechanical Engineering, Xidian University, No.2 South TaibaiRoad, Xi'an 710071, China.
Shuanqiang SongResearch Center for Applied Mechanics, School of Electro-Mechanical Engineering, Xidian University, No.2 South TaibaiRoad, Xi'an 710071, China.
Meng ZhaoResearch Center for Applied Mechanics, School of Electro-Mechanical Engineering, Xidian University, No.2 South TaibaiRoad, Xi'an 710071, China.
Jing JiResearch Center for Applied Mechanics, School of Electro-Mechanical Engineering, Xidian University, No.2 South TaibaiRoad, Xi'an 710071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes a method for classifying crystal planes based on the bond angle characteristics of quartz unit cells and constructs an etch rate model for quartz crystal planes at both macro and micro scales. By omitting oxygen atoms from the quartz cell structure, a method based on bond angle characteristics was established to partition the atomic arrangement of the crystal surface. This approach was used to analyze the etching processes of typical quartz crystal planes (R, r, m, and (0001)), approximating the etching process of crystals as a cyclic removal of certain bond angle characteristics on the crystal planes. This led to the development of an etch rate model based on micro-geometric parameters of crystal planes. Additionally, using the proposed bond angle classification method, the common characteristics of atomic configurations on the crystal plane surfaces within the X_cut type were extracted and classified into seven regions, further expanding and applying the etch rate model. The computational results of this model showed good agreement with experimental data, indicating the rationality and feasibility of the proposed method. These also provide a theoretical basis for understanding the microstructural changes during quartz-based MEMS etching processes.

Indexed as

bond angle characteristicsetching rateMEMSquartz

Identifiers

PMID38930737
PMCPMC11205698

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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.