Evidence map›Paper›PMID 40385204›Full record

ArticleACS omega2025

Exploring the Advanced Optoelectronic Properties of Nd-Doped ZnO Thin Films for Next-Generation Perovskite Solar Cells.

Ghazi Aman Nowsherwan, Muhammad Azhar, Nadia Anwar, Muqarrab Ahmed, Qasim Ali, Nadia Nowsherwan, Saira Riaz, Shahzad Naseem, Wen-Cheng Lai

Abstract read
In one paragraph

Article in ACS omega, 2025. 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

9 authors.

Ghazi Aman NowsherwanCentre of Excellence in Solid State Physics, University of the Punjab, Lahore 54590, Pakistan.
Muhammad AzharCentre of Excellence in Solid State Physics, University of the Punjab, Lahore 54590, Pakistan.
Nadia AnwarInstitute for Advanced Study, Shenzhen University, Shenzhen 518060, China.ORCID https://orcid.org/0000-0002-3308-1148
Muqarrab AhmedDepartment of Chemical Engineering, Tsinghua University, Beijing 100084, China.
Qasim AliCentre of Excellence in Solid State Physics, University of the Punjab, Lahore 54590, Pakistan.
Nadia NowsherwanInstitute of Agricultural Sciences, University of the Punjab, Lahore 54590, Pakistan.
Saira RiazCentre of Excellence in Solid State Physics, University of the Punjab, Lahore 54590, Pakistan.
Shahzad NaseemCentre of Excellence in Solid State Physics, University of the Punjab, Lahore 54590, Pakistan.
Wen-Cheng LaiDepartment of Electrical Engineering, Ming Chi University of Technology, Taipei 640243, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research provides valuable insights into the effects of neodymium (Nd) doping on the structural, optical, and electrical properties of zinc oxide (ZnO) thin films coated on an ITO substrate. This study deepened our understanding of the unique characteristics and potential applications of these materials by utilizing comprehensive characterization techniques, including X-ray diffraction (XRD), Atomic Force Microscopy (AFM), UV-vis spectroscopy, and photoluminescence spectroscopy. XRD analysis confirmed the presence of hexagonal crystal structures, whereas AFM imaging revealed a distinctive granular configuration. The results indicated that the grain size of the thin films increased from 35.86 to 46.09 nm with increasing Nd doping concentration, demonstrating a relationship between Nd concentration and microstructure. The optical bandgap ranged from 3.29 to 3.21 eV for pure and doped thin films at different DC sputtering powers, and the electrical resistivity decreased from 1.54 × 10

Identifiers

PMID40385204
PMCPMC12079204

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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.