Evidence map›Paper›PMID 39225659›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Direct Growth of Wafer-Scale Self-Separated GaN on Reusable 2D Material Substrates.

Chang-Hsun Huang, Chia-Yi Wu, Yi-Chia Chou

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. 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. Article
  2. Direct Growth of Wafer-Scale Self-Separated GaN on Reusable 2D Material Substrates.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

3 authors.

Chang-Hsun HuangDepartment of Material Science and Engineering, National Taiwan University, Taipei, 10617, Taiwan.
Chia-Yi WuDepartment of Material Science and Engineering, National Taiwan University, Taipei, 10617, Taiwan.
Yi-Chia ChouDepartment of Material Science and Engineering, National Taiwan University, Taipei, 10617, Taiwan.ORCID https://orcid.org/0000-0002-7775-2927

Funding

National Science and Technology Council 113-2628-E-002-021-MY4National Science and Technology Council 113-2811-E-002-024-MY4
6 · The paper itself

Abstract

Free-standing gallium nitride has been prepared using various methods; however, the removal of the original substrate is still challenging with low success rates. In this work, 2-inch free-standing GaN films are obtained by direct growth on a fluoro phlogopite mica by hydride vapor-phase epitaxy. Depending on the van der Waals (vdW) interaction between GaN and mica, the effect of the significant lattice mismatch is effectively reduced; thus, enabling the production of a high-quality wafer-scale GaN film on mica. The vdW-induced cracks at GaN-mica interface are found to be initiated near the interface so that GaN can easily separate from mica during rapid cooling. Owing to the hydrophilic nature of mica, the residual GaN on the mica can be lifted off by following deionized water treatment, and the mica substrate can be repeatedly used to grow free-standing GaN films. The self-separated GaN films grown on both pristine and used mica substrates are single crystallinity and strain-free. Additionally, a fully functional ultraviolet light-emitting diode is demonstrated to show that the self-separated GaN films are of device quality. The proposed approach achieves epitaxial growth of wafer-scale single-crystalline GaN on 2D materials and provides a new substrate option in the technology of III-V materials.

Indexed as

2D materialsgallium nitridehydride vapor‐phase epitaxyself‐separationvan der Waals epitaxy

Identifiers

PMID39225659
PMCPMC11538651

What OpenQuestion holds

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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.