15 research outputs found
Hot Carrier extraction with plasmonic broadband absorbers
Hot charge carrier extraction from metallic nanostructures is a very
promising approach for applications in photo-catalysis, photovoltaics and
photodetection. One limitation is that many metallic nanostructures support a
single plasmon resonance thus restricting the light-to-charge-carrier activity
to a spectral band. Here we demonstrate that a monolayer of plasmonic
nanoparticles can be assembled on a multi-stack layered configuration to
achieve broad-band, near-unit light absorption, which is spatially localised on
the nanoparticle layer. We show that this enhanced light absorbance leads to
40-fold increases in the photon-to-electron conversion efficiency by the
plasmonic nanostructures. We developed a model that successfully captures the
essential physics of the plasmonic hot-electron charge generation and
separation in these structures. This model also allowed us to establish that
efficient hot carrier extraction is limited to spectral regions where the
photons possessing energies higher than the Schottky junctions and the
localised light absorption of the metal nanoparticles overlap.Comment: submitte
Role of the spacer layer in plasmonic antireflection coatings comprised of gold or silver nanoparticles
Optimization of Coating Uniformity in an Ion Beam Sputtering System using a Modified Planetary Rotation Method
Ultra Flat Gold Surfaces for Use in Chemical Force Microscopy: Scanning Probe Microscopy Studies of the Effect of Preparation Regime on Surface Morphology
The preparation of ultra flat gold surfaces for use in chemical force microscopy (CFM) has been
studied. The surfaces were studied in terms of substrate effects by comparing mica, Si (110) wafer and glass
slides. The effect of different annealing regimes was also investigated. Measurements on these surfaces were
made by both atomic force microscopy (AFM) (in contact and tapping mode) and by scanning tunneling
microscopy (STM). The films contain different morphologies with respect to grain size and topography.
Calculations of surface roughness present values less than 2.5 nm for all surfaces studied, making the choice of
the flattest surface difficult if based on criteria of surface roughness alone. Additionally, it is shown that
different acquisition parameters can produce dissimilar images that have stability and reproducibility.</jats:p
