Evidence map›Paper›PMID 41644675›Full record

ArticleScientific reports2026

Advancing ZnO nanostructures through strategic transition metal doping.

Rasool Akhtar Alias Osama, Kamran Akhtar Siddiqui, Haoyun Wang, Hao Zhang, Iqra Akhtar Siddiqui, Peter Lomax, Rebecca Cheung

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

7 authors.

Rasool Akhtar Alias OsamaIMNS, School of Engineering, The University of Edinburgh, Edinburgh, UK. rasool.akhtar@ed.ac.uk.
Kamran Akhtar SiddiquiDepartment of Mathematics, Basic Sciences and Humanities, Sukkur IBA University, Sukkur, Pakistan.
Haoyun WangIMNS, School of Engineering, The University of Edinburgh, Edinburgh, UK.
Hao ZhangIMNS, School of Engineering, The University of Edinburgh, Edinburgh, UK.
Iqra Akhtar SiddiquiDepartment of Education, Sukkur IBA University, Sukkur, Pakistan.
Peter LomaxIMNS, School of Engineering, The University of Edinburgh, Edinburgh, UK.
Rebecca CheungIMNS, School of Engineering, The University of Edinburgh, Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current research paper presents a first-principles study of the effects of doping Zno with transition metals such as Yttrium (Y) and Vanadium (V) on its structural, electronic, thermal stability, and optical characteristics. Replacing these Zn atoms with the dopants results in a significant increase in the dielectric properties and conductivity of the material. Elastic constants are then calculated to determine the mechanical stability of the doped structures, confirming their structural integrity. The NVT ensemble is utilized to prove the thermal stability. Computational modelling is done in Material Studio where the simulations are done in CASTEP which can allow a detailed analysis of the doped ZnO systems. The tests done prior are band structure, X-ray diffraction (XRD) patterns, thermal stability, and optical properties like conductivity, reflectivity, and the refractive index. The results indicate that Y and V doping have the potential to alter the electronic structure of ZnO greatly, which has bright opportunities to enhance the functioning of ZnO in optoelectronic and dielectric devices. Besides broadening our knowledge about doped ZnO on the atomic scale, these findings can form a powerful basis of experimental validation and developing materials in the future.

Indexed as

Band structureComputational studyDoped ZnOElastic constantsOpticsXRD spectra

Identifiers

PMID41644675
PMCPMC12929590

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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.