Evidence map›Paper›PMID 38607102›Full record

ArticleNanomaterials (Basel, Switzerland)2024

Enhancing the Consistency and Performance of Graphene-Based Devices via Al Intermediate-Layer-Assisted Transfer and Patterning.

Yinjie Wang, Ningning Su, Shengsheng Wei, Junqiang Wang, Mengwei Li

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Yinjie WangAcademy for Advanced Interdisciplinary Research, North University of China, Taiyuan 030051, China.
Ningning SuState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Shengsheng WeiState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Junqiang WangAcademy for Advanced Interdisciplinary Research, North University of China, Taiyuan 030051, China.ORCID 0000-0001-6495-0783
Mengwei LiAcademy for Advanced Interdisciplinary Research, North University of China, Taiyuan 030051, China.

Funding

the "173" Projects of China No. 2023JCJQJJ0574the National Natural Science Foundation of China No. 62374152the Natural Science Foundation of Shanxi Province of China No. 202203021221105
6 · The paper itself

Abstract

Graphene has garnered widespread attention, and its use is being explored for various electronic devices due to its exceptional material properties. However, the use of polymers (PMMA, photoresists, etc.) during graphene transfer and patterning processes inevitably leaves residues on graphene surface, which can decrease the performance and yield of graphene-based devices. This paper proposes a new transfer and patterning process that utilizes an Al intermediate layer to separate graphene from polymers. Through DFT calculations, the binding energy of graphene-Al was found to be only -0.48 eV, much lower than that of PMMA and photoresist with graphene, making it easier to remove Al from graphene. Subsequently, this was confirmed through XPS analysis. A morphological characterization demonstrated that the graphene patterns prepared using the Al intermediate layer process exhibited higher surface quality, with significantly reduced roughness. It is noteworthy that the devices obtained with the proposed method exhibited a notable enhancement in both consistency and sensitivity during electrical testing (increase of 67.14% in temperature sensitivity). The low-cost and pollution-free graphene-processing method proposed in this study will facilitate the further commercialization of graphene-based devices.

Indexed as

Al intermediate layergraphene patterninggraphene temperature sensorgraphene transferpolymer residue

Identifiers

PMID38607102
PMCPMC11013706

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.