Plasmonic-Enhanced Light Harvesting and Perovskite Solar Cell Performance Using Au Biometric Dimers with Broadband Structural Darkness

Chun Ma, Changxu Liu, Jianfeng Huang, Yuhui Ma, Zhixiong Liu, Lain-Jong Li, Thomas D. Anthopoulos, Yu Han, Andrea Fratalocchi, Tao Wu

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


Hybrid perovskites have recently attracted enormous attention for photovoltaic applications, and various strategies related to light management and photocarrier collection are developed to enhance their performance. As an effective route toward near-field light enhancement, metal nanostructures with subwavelength dimensions can couple incident photons with conduction electrons, giving rise to localized surface plasmon resonances. However, efficiency enhancements through plasmonic routes are limited to the short wavelength range corresponding to metal extinction wavelength. Thus, the exploration of novel plasmonic nanostructures with predesigned sizes and shapes is needed to advance this field. Herein, for the first time, a bioinspired nanostructure of Au nanorod–nanoparticle dimers with structural darkness is exploited to enhance the light harvesting and performance of perovskite solar cells. Differing from conventional metallic nanoparticles, biometric nanoparticles introduce geometric singularity to the system, providing a broadband response for energy harvesting. By embedding the core–shell gold dimers in the perovskite solar cells, a notable enhancement of broadband light absorption is observed, and sequentially, the efficiency of perovskite solar cells increases by 16%.
Original languageEnglish (US)
Pages (from-to)1900138
JournalSolar RRL
Issue number8
StatePublished - May 21 2019

Bibliographical note

KAUST Repository Item: Exported on 2021-04-13
Acknowledgements: C.L. and T.W. conceived the idea. C.M., Y.M., and Z.L. performed the experiment and wrote the manuscript. J.H. synthesized the Au dimers, and C.L. conducted the simulations. All the authors participated in the discussion of the project. The project was funded by King Abdullah University of Science and Technology (KAUST).


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