F
Fiona J. Beck
Researcher at Australian National University
Publications - 52
Citations - 2660
Fiona J. Beck is an academic researcher from Australian National University. The author has contributed to research in topics: Plasmon & Surface plasmon. The author has an hindex of 23, co-authored 46 publications receiving 2303 citations. Previous affiliations of Fiona J. Beck include ICFO – The Institute of Photonic Sciences.
Papers
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Tunable light trapping for solar cells using localized surface plasmons
TL;DR: In this article, a simple and effective method of enhancing light trapping in solar cells with thin absorber layers by tuning localized surface plasmons in arrays of Ag nanoparticles is presented.
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Designing periodic arrays of metal nanoparticles for light-trapping applications in solar cells
TL;DR: In this article, the authors acknowledge the A. R. C. and NOW for======Research conducted at the FOM as a part of the Joint Solar Program (JSP) for financial support.
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Asymmetry in photocurrent enhancement by plasmonic nanoparticle arrays located on the front or on the rear of solar cells
TL;DR: In this article, the authors show that there is asymmetry in photocurrent enhancement by Ag nanoparticle arrays located on the front or on the rear of solar cells and that the scattering cross-section of front and rear-located nanoparticles can differ by up to a factor of 3.7.
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Hysteresis phenomena in perovskite solar cells: the many and varied effects of ionic accumulation
Daniel A. Jacobs,Yiliang Wu,Heping Shen,Chog Barugkin,Fiona J. Beck,Thomas P. White,Klaus Weber,Kylie R. Catchpole +7 more
TL;DR: Testing the limits of the ionic theory of hysteresis by attempting to account for a number of exotic characterization results using a detailed numerical device model that incorporates ionic charge accumulation at the perovskite interfaces finds that both interfacial recombination and carrier injection from the selective contacts are heavily affected by ionic accumulation.
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The effect of dielectric spacer thickness on surface plasmon enhanced solar cells for front and rear side depositions
TL;DR: In this article, the authors acknowledge the support of an Australian Research Council fellowship and the EU FP7676PRIMA project for their work in the field of computer vision and artificial intelligence.