Evidence map›Paper›PMID 34138281›Full record

ArticleNano-micro letters2020

Hierarchical Self-assembly of Well-Defined Louver-Like P-Doped Carbon Nitride Nanowire Arrays with Highly Efficient Hydrogen Evolution.

Bo Li, Yuan Si, Qian Fang, Ying Shi, Wei-Qing Huang, Wangyu Hu, Anlian Pan, Xiaoxing Fan, Gui-Fang Huang

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano-micro letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

9 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Electron-Deficient Zn-NNano-micro letters · 2022
    Article
  5. Article
  6. Article
  7. Nanomaterials (Basel, Switzerland) · 2021
    Review
  8. Flower-like MoSRSC advances · 2021
    Article
  9. 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

9 authors at 4 institutions in 1 country.

Bo LiDepartment of Applied Physics, College of Physics and Electronics, and College of Materials Science and Engineering, and State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, People's Republic of China.
Yuan SiDepartment of Applied Physics, College of Physics and Electronics, and College of Materials Science and Engineering, and State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, People's Republic of China.
Qian FangDepartment of Applied Physics, College of Physics and Electronics, and College of Materials Science and Engineering, and State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, People's Republic of China.
Ying ShiDepartment of Physics and Tsinghua-Foxconn Nanotechnology Research Center, Tsinghua University, Beijing, 100084, People's Republic of China.
Wei-Qing HuangDepartment of Applied Physics, College of Physics and Electronics, and College of Materials Science and Engineering, and State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, People's Republic of China. wqhuang@hnu.edu.cn.
Wangyu HuDepartment of Applied Physics, College of Physics and Electronics, and College of Materials Science and Engineering, and State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, People's Republic of China. wyuhu@hnu.edu.cn.
Anlian PanDepartment of Applied Physics, College of Physics and Electronics, and College of Materials Science and Engineering, and State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, People's Republic of China.
Xiaoxing FanCollege of Physics, Liaoning University, Shenyang, 110036, People's Republic of China.
Gui-Fang HuangDepartment of Applied Physics, College of Physics and Electronics, and College of Materials Science and Engineering, and State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, People's Republic of China. gfhuang@hnu.edu.cn.
State Key Laboratory of Chemobiosensing and ChemometricsHunan University · CNFoxconn (China) · CNLiaoning University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-assembled nanostructure arrays integrating the advantages of the intrinsic characters of nanostructure as well as the array stability are appealing in advanced materials. However, the precise bottom-up synthesis of nanostructure arrays without templates or substrates is quite challenging because of the general occurrence of homogeneous nucleation and the difficult manipulation of noncovalent interactions. Herein, we first report the precisely manipulated synthesis of well-defined louver-like P-doped carbon nitride nanowire arrays (L-PCN) via a supramolecular self-assembly method by regulating the noncovalent interactions through hydrogen bond. With this strategy, CN nanowires align in the outer frame with the separation and spatial location achieving ultrastability and outstanding photoelectricity properties. Significantly, this self-assembly L-PCN exhibits a superior visible light-driven hydrogen evolution activity of 1872.9 μmol h

Indexed as

Carbon nitrideHydrogen evolutionNanowire arraysP-dopedSelf-assembly

Identifiers

PMID34138281
PMCPMC7770876
OpenAlexW3006722568

What OpenQuestion holds

Textmetadata
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.