Evidence map›Paper›PMID 42640958›Full record

ArticlePloS one2026

Etching characteristics and profile simulation of silicon.

Hui Zhang, Pengpeng Cai

Abstract read
In one paragraph

Article in PloS one, 2026. 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

2 authors.

Hui ZhangIndustrial Perception and Intelligent Manufacturing Equipment Engineering Research Center of Jiangsu Province, Nanjing University of Industry Technology, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0003-1707-4500
Pengpeng CaiThe Southeast University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The anisotropic wet etching characteristics of crystal silicon are complex and easily affected by etching conditions and mask shapes, which makes it difficult to accurately predict and control the evolution process and 3D etched profile. This study is based on experimental data on the etching rate and mask etching structure of crystal silicon, and analyzes in detail the anisotropic etching mechanism and mask etching forming process, and then establishes an etching process simulation model using the Level Set method. The model first obtains the etching rate of all crystal planes by interpolation of the etching rate of a few sample crystal planes, then establishes the control equation of the etching motion interface based on the level set function and uses the finite difference method to solve the equation to track the evolution of the etching interface, and finally achieves the high-precision simulation of the 3D etched profile under various masks (window mask, mesa mask and double-sided mask). Experimental results show that the simulation results of the model are in good agreement with the actual situation, and the model has good adaptability and predictive ability for different etching systems and mask wafers with different shapes. In addition, the modeling theory is also applicable to the etching profile simulation of quartz and other crystalline materials, and has high simulation accuracy.

Indexed as

SiliconAnisotropyComputer SimulationSurface PropertiesSilicon

Identifiers

PMID42640958
PMCPMC13505924

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.