Evidence map›Paper›PMID 34683204›Full record

ArticleMicromachines2021

Effect of High-Temperature Nitridation and Buffer Layer on Semi-Polar (10-13) AlN Grown on Sapphire by HVPE.

Qian Zhang, Xu Li, Jianyun Zhao, Zhifei Sun, Yong Lu, Ting Liu, Jicai Zhang

Abstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Qian ZhangCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China.
Xu LiCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China.
Jianyun ZhaoCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China.
Zhifei SunSchool of Physical Education and Health Management, Guangxi Normal University, Guilin 541001, China.
Yong LuCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China.
Ting LiuCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China.
Jicai ZhangCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China.

Funding

Beijing Municipal Natural Science Foundation 4182046Fundamental Research Funds for the Central Universities buctrc201802, buctrc201830, buctrc202127Key-area research and the development program of Guangdong Province 2020B010172001National Natural Science Foundation of China 61874007, 12074028Shandong Provincial Major Scientific and Technological Innovation Project 2019JZZY010209
6 · The paper itself

Abstract

We have investigated the effect of high-temperature nitridation and buffer layer on the semi-polar aluminum nitride (AlN) films grown on sapphire by hydride vapor phase epitaxy (HVPE). It is found the high-temperature nitridation and buffer layer at 1300 °C are favorable for the formation of single (10-13) AlN film. Furthermore, the compressive stress of the (10-13) single-oriented AlN film is smaller than polycrystalline samples which have the low-temperature nitridation layer and buffer layer. On the one hand, the improvement of (10-13) AlN crystalline quality is possibly due to the high-temperature nitridation that promotes the coalescence of crystal grains. On the other hand, as the temperature of nitridation and buffer layer increases, the contents of N-Al-O and Al-O bonds in the AlN film are significantly reduced, resulting in an increase in the proportion of Al-N bonds.

Indexed as

AlNbuffer layerhigh-temperatureHVPEnitridation

Identifiers

PMID34683204
PMCPMC8537155

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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.