Evidence map›Paper›PMID 33709294›Full record

ArticleNanoscale research letters2021

Synthesis of Vertically Aligned ZnO Nanorods Using Sol-gel Seeding and Colloidal Lithography Patterning.

Ebrahim Chalangar, Omer Nur, Magnus Willander, Anders Gustafsson, Håkan Pettersson

Open access · goldAbstract read
In one paragraph

Article in Nanoscale research letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 at 2 institutions in 3 countries.

Ebrahim ChalangarDepartment of Science and Technology, Physics, Electronics and Mathematics, Linköping University, Norrköping, Sweden.ORCID http://orcid.org/0000-0002-6850-1552
Omer NurDepartment of Science and Technology, Physics, Electronics and Mathematics, Linköping University, Norrköping, Sweden.
Magnus WillanderDepartment of Science and Technology, Physics, Electronics and Mathematics, Linköping University, Norrköping, Sweden.
Anders GustafssonSolid State Physics and NanoLund, Lund University, Box 118, 221 00, Lund, Sweden.
Håkan PetterssonDepartment of Science and Technology, Physics, Electronics and Mathematics, Linköping University, Norrköping, Sweden. hakan.pettersson@hh.se.ORCID http://orcid.org/0000-0001-5027-1456
Linköping University · SELund University · SE

Funding

ÅForsk 19-725
6 · The paper itself

Abstract

Different ZnO nanostructures can be grown using low-cost chemical bath deposition. Although this technique is cost-efficient and flexible, the final structures are usually randomly oriented and hardly controllable in terms of homogeneity and surface density. In this work, we use colloidal lithography to pattern (100) silicon substrates to fully control the nanorods' morphology and density. Moreover, a sol-gel prepared ZnO seed layer was employed to compensate for the lattice mismatch between the silicon substrate and ZnO nanorods. The results show a successful growth of vertically aligned ZnO nanorods with controllable diameter and density in the designated openings in the patterned resist mask deposited on the seed layer. Our method can be used to fabricate optimized devices where vertically ordered ZnO nanorods of high crystalline quality are crucial for the device performance.

Indexed as

Chemical bath depositionColloidal lithographyNanofabricationNanorod arraysSeed layerSol-gelVertical growthZinc oxide

Identifiers

PMID33709294
PMCPMC7952483
OpenAlexW3133592286

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.