Evidence map›Paper›PMID 42395731›Full record

ArticleRSC advances2026

A dielectric SiO

Md Abu Huraiya, Abu S M Mohsin, Mohammed Belal Hossain Bhuian, Md Mosaddequr Rahman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 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

4 authors.

Md Abu HuraiyaDepartment of Electrical and Electronics Engineering, Nanotechnology, AI, IoT and Machine Learning Research Group, BRAC University Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda Dhaka 1212 Bangladesh abu.huraiya@bracu.ac.bd asm.mohsin@bracu.ac.bd.
Abu S M MohsinDepartment of Electrical and Electronics Engineering, Nanotechnology, AI, IoT and Machine Learning Research Group, BRAC University Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda Dhaka 1212 Bangladesh abu.huraiya@bracu.ac.bd asm.mohsin@bracu.ac.bd.ORCID https://orcid.org/0000-0001-9281-9088
Mohammed Belal Hossain BhuianDepartment of Electrical and Electronics Engineering, Nanotechnology, AI, IoT and Machine Learning Research Group, BRAC University Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda Dhaka 1212 Bangladesh abu.huraiya@bracu.ac.bd asm.mohsin@bracu.ac.bd.
Md Mosaddequr RahmanDepartment of Electrical and Electronics Engineering, Nanotechnology, AI, IoT and Machine Learning Research Group, BRAC University Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda Dhaka 1212 Bangladesh abu.huraiya@bracu.ac.bd asm.mohsin@bracu.ac.bd.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perovskite solar cells (PSCs) are currently limited by a critical trade-off between the need for thick absorber layers (1000-1500 nm) to ensure sufficient light absorption and the environmental concerns regarding high lead (Pb) toxicity. While metal-based general light-trapping strategies like plasmonics or surface texturing have been explored, they often involve complex fabrication or offer marginal gains with high reflective loss. In this work, we present a high-performance, lead-reduced strategy using an optimized array of SiO

Identifiers

PMID42395731
PMCPMC13326813

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.