Evidence map›Paper›PMID 42513840›Full record

ArticleMaterials (Basel, Switzerland)2026

Topologically Optimized Copper Pre-Orienting Layer Enabled High-Quality GaN Micropyramid Epitaxy on Amorphous Glass.

Yaqing Ma, Junwei Cao, Huaze Zhu, Tong Jiang, Yuqiao Zheng

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

5 authors.

Yaqing MaZhejiang University, Hangzhou 310027, China.
Junwei CaoAdvanced Solid-State Semiconductor Lab, School of Engineering, Westlake University, Hangzhou 310024, China.
Huaze ZhuAdvanced Solid-State Semiconductor Lab, School of Engineering, Westlake University, Hangzhou 310024, China.ORCID 0009-0009-0115-6748
Tong JiangAdvanced Solid-State Semiconductor Lab, School of Engineering, Westlake University, Hangzhou 310024, China.ORCID 0009-0004-8677-4185
Yuqiao ZhengZhejiang University, Hangzhou 310027, China.ORCID 0009-0005-9849-943X

Funding

Westlake University
6 · The paper itself

Abstract

Heteroepitaxy of single-crystalline GaN on glass represents a promising approach for low-cost, large-area optoelectronics, yet the amorphous nature of glass inherently lacks the long-range atomic order required for crystalline templating. To address this limitation, we introduce a distinctive topologically optimized pre-orienting layer (TOPL) strategy based on Cu (111) thin films, enabling the growth of an AlN (0002) buffer layer and thus achieving high-quality GaN micropyramid array epitaxy on amorphous glass. First, by introducing a disconnected Cu thin film, the grain boundaries during annealing are effectively confined within the non-epitaxial region. This process to a large extent overcomes the polycrystallization of metal templates on amorphous glass. Then, experiments demonstrated that under multiply connected configurations, the Cu (111) surface not only preserves the grain-boundary-confining property but also exhibits notable surface smoothness. Among the evaluated symmetries, the sixfold symmetry structure achieves the optimum atomic-level flatness with a root-mean-square roughness of 0.395 nm. Building upon this TOPL architecture, c-axis-oriented GaN micropyramids were grown via selective area epitaxy. The glass-based GaN micropyramid demonstrates comparable crystalline quality (threading dislocation density from a single lamella: 5.46 × 10

Indexed as

amorphous substratesgallium nitrideheteroepitaxymetal pre-orienting layerselective-area epitaxy

Identifiers

PMID42513840
PMCPMC13413984

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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.