Dielectric shells as resonant mode tuners: unlocking superior visible-spectrum photon capture in plasmonic perovskite solar cells

Citation

Mahmood, Minhaz and Islam, Mohammad Tariqul and Alawad, Mohamad A. and Chelvanathan, Puvaneswaran and Alenezi, Abdulmajeed M. and Ouda, Mohamed and Islam, Md. Shabiul (2026) Dielectric shells as resonant mode tuners: unlocking superior visible-spectrum photon capture in plasmonic perovskite solar cells. Journal of Materials Chemistry A. ISSN 2050-7488

[img] Text
d5ta08034g.pdf - Published Version
Restricted to Repository staff only

Download (4MB)

Abstract

A critical barrier to commercializing perovskite solar cells (PSCs) is the trade-off between the efficiency of thick absorbers and the stability of thin films. Advanced light management is essential to resolve this, yet the optimal nanophotonic strategy remains debated. Here, we resolve this debate by systematically comparing planar, dielectric, bare plasmonic, and core–shell architectures within a unified multi-physics framework. We find the core–shell plasmonic design is clearly superior, with the champion CoreAu architecture achieving 21.61% efficiency, a 43% relative enhancement over the 15.11% planar baseline, driven by a Jsc increase from 18.22 to 26.34 mA cm−2 . The core physical insight is that the dielectric shell acts as an active resonant tuner, enabling the excitation of powerful, higher-order plasmonic modes inaccessible to bare nanoparticles. This unique capability facilitates a strategic shift from specialist near-infrared light trapping to a more effective broadband anti-reflection in the visible spectrum, where solar flux is highest. This work establishes a new design principle for plasmonic PSCs: the shell must be co-optimized as an active optical element to prioritize visible-spectrum photon capture, providing a clear pathway toward ultra-high-efficiency, stable thin-film photovoltaics.

Item Type: Article
Uncontrolled Keywords: Solar cells
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK4601-4661 Electric heating
Divisions: Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 02 Apr 2026 03:17
Last Modified: 02 Apr 2026 04:36
URII: http://shdl.mmu.edu.my/id/eprint/15634

Downloads

Downloads per month over past year

View ItemEdit (login required)