342 research outputs found
Extremely subwavelength metal oxide direct and complementary metamaterials
Dataset for figure in Gregory, Simon A., Wang, Yudong, de Groot, C.H. and Muskens, Otto L. (2015) Extreme Subwavelength Metal Oxide Direct and Complementary Metamaterials. ACS Photonics, 2 (5), 606-614. (doi:10.1021/acsphotonics.5b00089).
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Dataset for Embedded Metal Oxide Plasmonics using Local Plasma Oxidation of AZO for Planar Metasurfaces
Optical spectra, ellipsometry results
The data corresponds to the figures in published work.
Kai Sun, Wei Xiao, Sheng Ye, Nikolaos Kalfagiannis, Kian Shen Kiang, C. H.(Kees) de Groot, Otto L. Muskens.
Embedded Metal Oxide Plasmonics Using Local Plasma Oxidation of AZO for Planar Metasurfaces
Advanced Materials
https://doi.org/10.1002/adma.202001534</span
Dataset for Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures
Dataset supports: Wiecha, P. R. & Muskens, O. L. "Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures". Nano Letters (2019)
Simulation data and analysis</span
Dataset for A new family of ultra-low loss reversible phase change materials for photonic integrated circuits: Sb2S3 and Sb2Se3
Dataset supports the paper
Matthew Delaney Ioannis Zeimpekis Daniel Lawson Daniel W. Hewak Otto L. Muskens (2020) A New Family of Ultralow Loss Reversible Phase‐Change Materials for Photonic Integrated Circuits: Sb2S3 and Sb2Se3 Advance Functional Materials
DOI:https://doi.org/10.1002/adfm.202002447</span
Mesoscopic transport and control of light through disordered nanowire mats
In this thesis the transport of light through disordered, densely packed semiconductor nanowire mats is studied. It is found that the extremely high photonic strength of these samples leads to corrections to the traditional diffusion picture of light transport due to mesoscopic interference. Such effects are characterized by large intensity fluctuations and correlations, and it is found the transport is dominated by only a few independent transmission channels, close to the Anderson localisation regime. In addition to the strongly scattering nanowire samples, comparatively weakly scattering samples of ZnO are investigated, demonstrating mesoscopic effects in a less exotic, isotropic multiple scattering material. Control is obtained over the transmission by a combination of shaping the incident wavefront and harnessing the intrinsic nonlinearity of the semiconductor with ultrafast optical excitation. Through these techniques, a bright focus at an arbitrary point through the nanowires is created which can be modulated by up to 60% in a demonstration of a reconfigurable photonic switch
Dataset for Snapshot fiber spectral imaging using speckle correlations and compressive sensing
The data supports the paper French, R., Gigan, S., & Muskens, O. L. (2018). Snapshot fiber spectral imaging using speckle correlations and compressive sensing. Optics Express, 26(24), 32302-32316. DOI: 10.1364/OE.26.032302</span
Speckle-based hyperspectral imaging combining multiple scattering and compressive sensing in nanowire mats
Dataset containing measurement and simulation results in ascii format, including matlab figures.
Dataset supports:
French, R., Gigan, S., & Muskens, O. L. (2017). Speckle-based hyperspectral imaging combining multiple scattering and compressive sensing in nanowire mats. Optics Letters, 42(9), 1820.</span
Dataset for Polarizabilities of complex individual dielectric or plasmonic nanostructures
Dataset for supports the paper: Adelin Patoux, Clément Majorel, Peter R. Wiecha, Aurélien Cuche, Otto L. Muskens, Christian Girard, and Arnaud Arbouet "Polarizabilities of complex individual dielectric or plasmonic nanostructures". Physical Review B (2020)
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Dataset for Accurate Inverse Design of Fabry–Pérot-Cavity-Based Color Filters far beyond sRGB via a Bidirectional Artificial Neural Network
Data to support article "Accurate inverse design of Fabry–Perot-cavity-based color filters far beyond sRGB via a bidirectional artificial neural network". Peng Dai, Yasi Wang, Yueqiang Hu, C. H. de Groot, Otto Muskens, Huigao Duan, and Ruomeng Huang. PHOTONICS Research. 10.1364/PRJ.415141</span
Data for "Graphene oxide - upconversion nanoparticle based optical sensors for targeted detection of mRNA biomarkers present in Alzheimer’s disease and prostate cancer"
Raw data and images for the article Vilela, Patrick, El-Sagheer, Afaf, Millar, Timothy M., Brown, Tom, Muskens, Otto and Kanaras, Antonios (2016) Graphene oxide-upconversion nanoparticle based optical sensors for targeted detection of mRNA biomarkers present in Alzheimer’s disease and prostate cancer. ACS Sensors (doi:10.1021/acssensors.6b00651)</span
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