Evidence map›Paper›PMID 39430541›Full record

ArticleHeliyon2024

Particle swarm optimization for performance enhancement of cadmium telluride thin film solar cells by embedded nano-grating structures with a plasmonic metal coating layer.

Rifat Bin Sultan, Asif Al Suny, Md Hasibul Hossain, Tazrian Noor, Mustafa Habib Chowdhury

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

5 authors.

Rifat Bin SultanDepartment of Electrical and Electronic Engineering, Independent University, Bangladesh, Plot 16, Block B, Aftabuddin Ahmed Road, Bashundhara Residential Area, Dhaka 1229, Bangladesh.
Asif Al SunyDepartment of Electrical and Electronic Engineering, Independent University, Bangladesh, Plot 16, Block B, Aftabuddin Ahmed Road, Bashundhara Residential Area, Dhaka 1229, Bangladesh.
Md Hasibul HossainDepartment of Electrical and Electronic Engineering, Independent University, Bangladesh, Plot 16, Block B, Aftabuddin Ahmed Road, Bashundhara Residential Area, Dhaka 1229, Bangladesh.
Tazrian NoorDepartment of Electrical and Electronic Engineering, Independent University, Bangladesh, Plot 16, Block B, Aftabuddin Ahmed Road, Bashundhara Residential Area, Dhaka 1229, Bangladesh.
Mustafa Habib ChowdhuryDepartment of Electrical and Electronic Engineering, Independent University, Bangladesh, Plot 16, Block B, Aftabuddin Ahmed Road, Bashundhara Residential Area, Dhaka 1229, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the demand for energy in world is increasing rapidly and there is pursuit for renewable energy sources which is cheap, easy to generate and requires low maintenance, solar energy is a top contender. The world is in dire need of photovoltaic solar cells that can aid in keeping up with the hiking energy demands. However, thin film solar cells (TFSCs) which are developed for cost effectivity, suffer in performance due to reduced thickness. Therefore, this computational study uses Finite-Difference Time-Domain (FDTD) and delves into the scope of using a 1-D nano-grating structure embedded into absorbing layer of cadmium telluride TFSC to enhance the optoelectronic performance. A unique nano-grating structure with SiO

Indexed as

Finite-difference time-domainNano-gratingParticle swarm optimizationPlasmonicsShort-circuit current densityThin film solar cells

Identifiers

PMID39430541
PMCPMC11490849

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.