Evidence map›Paper›PMID 39143453›Full record

ArticleNano convergence2024

Conveyor CVD to high-quality and productivity of large-area graphene and its potentiality.

Dong Yun Lee, Jungtae Nam, Gil Yong Lee, Imbok Lee, A-Rang Jang, Keun Soo Kim

Abstract read
In one paragraph

Article in Nano convergence, 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. Review
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.

Dong Yun LeeDepartment of Physics and Graphene Research Institute, Sejong University, Seoul, 05006, Republic of Korea.
Jungtae NamDepartment of Physics and Graphene Research Institute, Sejong University, Seoul, 05006, Republic of Korea.
Gil Yong LeeDepartment of Physics and Graphene Research Institute, Sejong University, Seoul, 05006, Republic of Korea.
Imbok LeeDepartment of Physics and Graphene Research Institute, Sejong University, Seoul, 05006, Republic of Korea.
A-Rang JangDivision of Electrical, Electronic and Control Engineering, Kongju National University, Cheonan-si, Chungcheongnam-do, 31080, Republic of Korea. arjang@kongju.ac.kr.
Keun Soo KimDepartment of Physics and Graphene Research Institute, Sejong University, Seoul, 05006, Republic of Korea. kskim2676@sejong.ac.kr.ORCID http://orcid.org/0000-0002-4901-6156

Funding

Basic Science Research Program 2021R1A4A1031900Global Resaerch Development Center Program RS-2024-00436306Ministry of Science and ICT, South Korea RS-2024-00437191National Research Foundation of Korea 2019R1A2C1009963
6 · The paper itself

Abstract

The mass production of high-quality graphene is required for industrial application as a future electronic material. However, the chemical vapor deposition (CVD) systems previously studied for graphene production face bottlenecks in terms of quality, speed, and reproducibility. Herein, we report a novel conveyor CVD system that enables rapid graphene synthesis using liquid precursors. Pristine and nitrogen-doped graphene samples of a size comparable to a smartphone (15 cm × 5 cm) are successfully synthesized at temperatures of 900, 950, and 1000 °C using butane and pyridine, respectively. Raman spectroscopy allows optimization of the rapid-synthesis conditions to achieve uniformity and high quality. By conducting compositional analysis via X-ray photoelectron spectroscopy as well as electrical characterization, it is confirmed that graphene synthesis and nitrogen doping degree can be adjusted by varying the synthesis conditions. Testing the corresponding graphene samples as gas-sensor channels for NH

Indexed as

Chemical vapor depositionConveyorDopingGas sensorGrapheneProductivitySynthesis

Identifiers

PMID39143453
PMCPMC11324640

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.