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4 results for “plasmonic color”
Dataset and Simulation Files for article "Bright and Vivid Diffractive-Plasmonic Reflective Filters for Color Generation"
<p>This work was supported by Ministério da Ciência Tecnologia, Inovações e Comunicações, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brasil, Finance, Code 001, National Counsel of Technological and Scientific Development, and São Paulo Research Foundation (Fapesp) through grants 2018/15580-6, 2018/15577-5, 2016/18308-0, 2012/ 17610-3, and 2012/17765-7. Part of the results presented in this work were obtained through Project 4716-11, funded by Samsung Eletrônica da Amazônia Ltda., under the Brazilian Informatics Law 8.248/91. The authors thank the Center for Semiconductor Components and Nanotechnologies for the nanofabrication infrastructure.</p>
Dataset of the manuscript: Predictive design of plasmonic color
<p>This data publication is based on the metadata and datasets underlying the manuscripts "Predictive design of plasmonic color"</p> <p>Folder "Figure 1" contains:</p> <ul> <li>Simulated Extinction spectra of 120 nm silica particle coated with 20 nm gold shell</li> <li>Simulated Transmission spectra of 120 nm silica particle coated with 20 nm gold shell scaled for different concentrations + Lab and RGB color coordinates</li> <li>3D plots of accessible color gamut for Ag, Au, SiO2@Au and SiO2@Ag nanoparticles</li> </ul> <p>Figure "Figure 2" contains:</p> <ul> <li>Simulated colors of targeted for varying concentrations</li> <li>Color-map for color of the year 2022</li> <li>Color coordinates (Lab and RGB) of structure in spot 1 and spot 4 scaled for different concentrations</li> </ul> <p>Figure "Figure 3" contains:</p> <ul> <li>Photographs of realized particle dispersion (spot1: 0@52, spot2: 113@46, spot3: 137@24, spot 4: 398@37) at high and low concentrations, approx. concentrations in number of particles per ml</li> <li>TEM images of realized particles (for core-shell particle: after seeding (x@NP) and after shell growth)</li> <li>UV-Vis:</li> <ul> <li>Measured absorbance spectra and scaled transmission spectra of realized particles spot</li> <li>Color coordinates of simulated, experimentally determined and target color</li> </ul> </ul> <p>Figure "Figure 4" contains:</p> <ul> <li>Photographs of realized particle dispersion (CRC1411yellow: Ag0@3-24, CRC1411red: Au0@13, CRC1411blue: Au113@35), approx. concentrations in number of particles per ml</li> <li>TEM images of realized particles (for core-shell particle: after seeding (x@NP) and after shell growth)</li> <li>UV-Vis:</li> <ul> <li>Measured absorbance spectra and scaled transmission spectra of realized particles</li> <li>Color coordinates of simulated, experimentally determined and target color</li> </ul> <li>color maps for CRC1411 target colors</li> </ul> <p> </p>
Nonlinear bi-color holography using plasmonic metasurfaces
<p>Dataset of the publication “Nonlinear bi-color holography using plasmonic metasurfaces“, Daniel Frese, Qunshuo Wei, Yongtian Wang,<br> Mirko Cinchetti, Lingling Huang, and Thomas Zentgraf, ACS Photonics (2021), 8(4), pp. 1013-1019 ( <a href="https://doi.org/10.1021/acsphotonics.1c00028">https://doi.org/10.1021/acsphotonics.1c00028</a>). The files includes the data on which the plots shown in figure 2, 3, and 4 are based.</p>
A Deep Learning Approach to the Forward Prediction and Inverse Design of Plasmonic Metasurface Structural Color - Raw Data
<p>Reflection spectra of PDMS - Al nanorod metamaterials were collected using LUMERICAL FDTD simulations. PDMS material properties were defined using a refractive index of 1.41 and Al material properties were defined using frequency selective permittivities from the handbook of Palik. A total of 4620 structures were simulated, sweeping the following dimension parameters:</p> <ul> <li>Aluminium thickness (t)</li> <li>Pillar height (h)</li> <li>Pillar diameter (d)</li> </ul> <p>Reflectance spectra were converted into CIE 1931 chromaticity values (x,y). This dataset is comprehensive and allows for the development of deep learning models for the forward and inverse design of the given metamaterial structure as detailed in the associated manuscript. The associated manuscript and supporting documentation provide extensive details of data collection and processing methods.</p> <p> </p>
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