Evidence map›Paper›PMID 42151457›Full record

ArticleScientific reports2026

Simulation and performance analysis of nanostructure-based perovskite solar cells for improving their efficiency.

Amir Reza Firouzabadi, Mohammad Reza Shayesteh, Fakhralsadat Rastegari

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Amir Reza FirouzabadiDepartment of Electrical Engineering, Ya.C, Islamic Azad University, Yazd, Iran.
Mohammad Reza ShayestehDepartment of Electrical Engineering, Ya.C, Islamic Azad University, Yazd, Iran. shayesteh@iau.ac.ir.ORCID http://orcid.org/0000-0002-1485-2656
Fakhralsadat RastegariDepartment of Electrical Engineering, Ya.C, Islamic Azad University, Yazd, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perovskite solar cells (PSCs) offer high efficiency potential; however, their optical absorption is limited by the thin absorber layers required for efficient charge transport. Enhancing light harvesting without degrading electrical performance remains a key challenge for high-efficiency PSCs.In this study, four perovskite-based device architectures are systematically designed and numerically investigated to improve absorption through plasmonic light trapping, interfacial engineering, and tandem integration. Optical properties are analyzed using finite-difference time-domain (FDTD) simulations, while electrical performance is evaluated via coupled finite-element drift-diffusion modeling under standard AM1.5G illumination.The studied configurations include a reference planar structure, a plasmonic design with hemispherical Ag nanostructures, a graphene-InP Schottky-based hybrid architecture, and a perovskite-InP tandem device. The plasmonic structure enhances long-wavelength absorption, increasing power conversion efficiency from 16.1% to 18.9% despite reduced absorber thickness. Incorporation of a graphene-InP interface further improves charge extraction, achieving an efficiency of approximately 24.8%. The tandem configuration provides the broadest spectral utilization, delivering a simulated efficiency of up to 32% through complementary absorption and voltage addition.These results demonstrate the importance of combined optical-electrical optimization and provide design guidelines for developing high-efficiency thin-film perovskite solar cells.

Indexed as

AbsorptionGraphene–InP Schottky junctionPerovskite solar cellsPlasmonic nanostructures

Identifiers

PMID42151457
PMCPMC13381929

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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.