Evidence map›Paper›PMID 37110924›Full record

ArticleNanomaterials (Basel, Switzerland)2023

In Situ Growth of Graphene on Polyimide for High-Responsivity Flexible PbS-Graphene Photodetectors.

Liangchen Hu, Jun Deng, Yiyang Xie, Fengsong Qian, Yibo Dong, Chen Xu

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. 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

6 authors.

Liangchen HuKey Laboratory of Optoelectronics Technology, Beijing University of Technology, Ministry of Education, Beijing 100124, China.
Jun DengKey Laboratory of Optoelectronics Technology, Beijing University of Technology, Ministry of Education, Beijing 100124, China.ORCID 0000-0002-9022-9647
Yiyang XieKey Laboratory of Optoelectronics Technology, Beijing University of Technology, Ministry of Education, Beijing 100124, China.
Fengsong QianKey Laboratory of Optoelectronics Technology, Beijing University of Technology, Ministry of Education, Beijing 100124, China.
Yibo DongInstitute of Photonic Chips, University of Shanghai for Science and Technology, Shanghai 200093, China.
Chen XuKey Laboratory of Optoelectronics Technology, Beijing University of Technology, Ministry of Education, Beijing 100124, China.

Funding

Beijing Nova Program Z201100006820096National Key R&D Program of China 2018YFA0209000National Natural Science Foundation of China 62074011, 62134008, 61774175Natural Science Foundation of Beijing Municipality 4182012Shanghai Super Postdoctoral Incentive Program and China Postdoctoral Science Foundation 2021M692136
6 · The paper itself

Abstract

Graphene is an ideal material for flexible optoelectronic devices due to its excellent electrical and optical properties. However, the extremely high growth temperature of graphene has greatly limited the direct fabrication of graphene-based devices on flexible substrates. Here, we have realized in situ growth of graphene on a flexible polyimide substrate. Based on the multi-temperature-zone chemical vapor deposition cooperated with bonding a Cu-foil catalyst onto the substrate, the growth temperature of graphene was controlled at only 300 °C, enabling the structural stability of polyimide during growth. Thus, large-area high-quality monolayer graphene film was successfully in situ grown on polyimide. Furthermore, a PbS-graphene flexible photodetector was fabricated using the graphene. The responsivity of the device reached 10

Indexed as

flexible substrategraphenelow temperature growthtransfer-free

Identifiers

PMID37110924
PMCPMC10147023

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.