2019
DOI: 10.1007/s10854-019-02763-2
|View full text |Cite
|
Sign up to set email alerts
|

Influence of ultrathin gahnite anti-reflection coating on the power conversion efficiency of polycrystalline silicon solar cell

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
2
2

Relationship

3
6

Authors

Journals

citations
Cited by 46 publications
(22 citation statements)
references
References 40 publications
0
10
0
Order By: Relevance
“…From the I-V characteristic curve, the F3 sample holds denser and more uniform coatings of materials. e coating thickness and material distribution were clearly identified using the FESEM technique [23][24][25].…”
Section: Resultsmentioning
confidence: 99%
“…From the I-V characteristic curve, the F3 sample holds denser and more uniform coatings of materials. e coating thickness and material distribution were clearly identified using the FESEM technique [23][24][25].…”
Section: Resultsmentioning
confidence: 99%
“…The MoS2 sputter coating in 30 minutes solar cell was found to be uniform to other surface coatings. The minimum surface roughness coated sample experiences minimum incident light scattering which in turn resulting in maximum light transmittance [2]. This paves the way for attaining maximum solar cell performance.…”
Section: Fig 5 3d Surface Morphology Of M3 Coated Solar Cell Through Afm Techniquementioning
confidence: 96%
“…Clean and green energy is quite necessary as it emits zero percent carbon dioxide to overcome global warming and the greenhouse effect [1]. Some of the unconventional renewable energy sources are geothermal energy, hydel energy, tidal energy, wind energy, solar energy, etc., Among those energies, solar energy is available abundant in nature and capable of satisfying future energy needs [2]. In recent years, many researchers were focussing on the performance enhancement of solar cells.…”
Section: Introduction *mentioning
confidence: 99%
“…Mathematically signal and noise were known as mean and standard deviation of obtained experimental results. 15,16 It is a measure of characteristic quality of deviation from desired value. Depending on the required results, S/N ratios were classified as lower is better (LB), nominal is best (NB), or higher is better (HB).…”
Section: Analysis Of the S/n Ratiomentioning
confidence: 99%