Evidence map›Paper›PMID 36406719›Full record

ArticleHeliyon2022

Early thermal aging detection in tin based perovskite solar cell.

H Amanati Manbar, Z Hosseini, T Ghanbari, E Moshksar, M Khodapanah

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. 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, top 90% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 1 institution in 1 country.

H Amanati ManbarFaculty of Advanced Technologies, Shiraz University, PO BOX: 7195684560, Shiraz, Iran.
Z HosseiniFaculty of Advanced Technologies, Shiraz University, PO BOX: 7195684560, Shiraz, Iran.
T GhanbariFaculty of Advanced Technologies, Shiraz University, PO BOX: 7195684560, Shiraz, Iran.
E MoshksarFaculty of Advanced Technologies, Shiraz University, PO BOX: 7195684560, Shiraz, Iran.
M KhodapanahFaculty of Advanced Technologies, Shiraz University, PO BOX: 7195684560, Shiraz, Iran.
Shiraz University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tin-based perovskite solar cells (T-PSCs) are introduced as the next generation of valid and environment-friendly photovoltaic (PV) cells for near-future commercialization. However, there are some issues limiting T-PSCs including their instability, low efficiency, and use of toxic processing solvents. Among all these barriers, instability and early aging under thermal stress conditions are considered as significant challenges to the development of the T-PSCs. In this study, the impact of different temperature levels on the performance of a T-PSC is investigated over time. It is observed that early degradation of the device occurs at higher temperatures. For timely detection of the early aging, an accurate adaptive estimation of the series resistance is obtained in the equivalent single-diode circuit model of the T-PSC. It is shown that the trend of changes in the series resistance is a reliable indication of the aging process in the T-PSC. Finally, a mathematical index is derived for early aging detection based on the relative variation of the gradient from its minimum value in the linear regression analysis. The proposed approach could be utilized for timely detection of early aging conditions and protection of the device from permanent damage.

Indexed as

Early aging detectionSeries resistanceSingle diode modelSolar cellStabilityTin-based perovskite

Identifiers

PMID36406719
PMCPMC9668535
OpenAlexW4308927846

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.