Evidence map›Paper›PMID 35329665›Full record

ArticleMaterials (Basel, Switzerland)2022

Plasmonically Enhanced Colloidal Quantum Dot/Graphene Doped Polymer Random Lasers.

Mingxuan Cao, Min Wang, Zhiwen Wang, Luhao Zang, Hao Liu, Shuping Xiao, Matthew M F Yuen, Ying Wang, Yating Zhang, Jianquan Yao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials (Basel, Switzerland), 2022. 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

10 authors.

Mingxuan CaoDepartment of Intelligent Manufacturing, Wuyi University, Jiangmen 529020, China.
Min WangDepartment of Intelligent Manufacturing, Wuyi University, Jiangmen 529020, China.
Zhiwen WangDepartment of Intelligent Manufacturing, Wuyi University, Jiangmen 529020, China.
Luhao ZangDepartment of Intelligent Manufacturing, Wuyi University, Jiangmen 529020, China.
Hao LiuKey & Core Technology Innovation Institute of The Greater Bay Area, Guangzhou 510535, China.
Shuping XiaoDepartment of Intelligent Manufacturing, Wuyi University, Jiangmen 529020, China.
Matthew M F YuenDepartment of Mechanical Engineering, Hong Kong University of Science and Technology, Hong Kong 999077, China.
Ying WangDepartment of Intelligent Manufacturing, Wuyi University, Jiangmen 529020, China.
Yating ZhangInstitute of Laser and Opto-Electronics, College of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China.ORCID 0000-0002-6927-8452
Jianquan YaoInstitute of Laser and Opto-Electronics, College of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China.

Funding

Guangdong-Hong Kong-Macao Joint Research and Development Fund of Wuyi University 2019WGALH22Guangdong Province Key Field R&D Program Project 2020B090922004Jiangmen City Fundamental and Applied Fundamental Research Fund 2020030102130005402Wuyi University Joint Training Postgraduate Demonstration Base Fund 503170060251
6 · The paper itself

Abstract

An improvement in random lasers based on a colloidal quantum dot (QD)/graphene-doped polymer was observed and attributed to multiple light-scattering and graphene surface plasmon resonance. The emission characteristics of quantum dots doped with graphene oxide and reduced graphene oxide were compared. The QD/reduced graphene oxide hybrid exhibited a lower laser emission threshold (~460 μJ/cm

Indexed as

colloidal quantum dotgraphenerandom lasersurface plasmon resonance

Identifiers

PMID35329665
PMCPMC8955689

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.