Publications by authors named "N L Matsko"

Environmental problems associated with water pollution caused by organic dyes have raised serious concerns. In this context, photocatalytic processes have proven to be promising and environmentally friendly methods for water purification utilising abundant solar energy. In this study, a SrTiO-based photocatalyst was modified by doping with Al ions and the deposition of dual co-catalysts (Rh/CrO and CoOOH) to enhance the photocatalytic decomposition efficiency of methylene blue (MB).

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We present a Fourier transform (FT) based analytical method that allows to obtain of ultrastructural details from TEM images at sub-nanometer scale applying a selective filtering for singular macromolecule electron microscopy density information. It can be applied to high-pressure frozen, frozen hydrated and epoxy freeze substituted and embedded biological species. Both 2D projections and orthoslices from reconstructed tomograms can be used as a source of structural information.

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It is well-known that collective electronic excitations in fullerene C are manifested as Mie plasmons, and in graphene (the limiting case of an infinitely large fullerene), the collective excitations are of the plasmon-polariton type. How the properties of plasmons change in fullerenes with intermediate sizes is poorly understood. This problem is considered in the current paper in the framework of the GW approximation on the example of fullerenes C, C, and C.

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Formation of surface plasmon modes in sodium nanoclusters containing 20-300 atoms was studied using the G0W0 approximation. It is shown that in the small Na nanoparticles up to 2 nm in size, the loss function Im[ε-1] is dominated by a single peak corresponding to localized surface plasmon resonance (LSPR). For particles of 2 nm and more, a resonance corresponding to surface plasmon polariton (SPP) oscillations begins to form, as well as a resonance corresponding to volume plasmon (VP) excitations.

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Numerical calculations of surface and volume plasma excitations in silicon-hydrogen nanoclusters in the range Si10-Si60 and Si3H8-Si64H56 (size range 4-13.5 Å) are performed within the GW approximation. Some nanocluster structures were obtained using the evolutionary algorithm, and others were taken from the database.

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