Dataset related to publication: Robust radiative cooling via surface phonon coupling-enhanced emissivity from SiO2 micropillar arrays
<p>Dataset related to the publication:</p><p>Zhenmin Ding, Xin Li, Hulin Zhang, Dukang Yan, Jérémy Werlé, Ying Song, Lorenzo Pattelli, Jiupeng Zhao, Hongbo Xu, Yao Li. Robust radiative cooling via surface phonon coupling-enhanced emissivity from SiO2 micropillar arrays. <i>International Journal of Heat and Mass Transfer</i>, 220, 125004 (2024). doi: <a href="https://doi.org/10.1016/j.ijheatmasstransfer.2023.125004">10.1016/j.ijheatmasstransfer.2023.125004</a></p><p>The repository contains MATLAB/Octave scripts to perform rigorous coupled-wave analysis (RCWA) simulations for a SiO2 layer decorated with micropillars.</p><p>The main script runs a series of rigorous electromagnetic simulations over the atmospheric transparency window wavelength range (8-13 µm) for all combination of three main structural parameters (pillar diameter, spacing and height), within a user-defined range.</p><p>Running the code requires the RETICOLO v9 RCWA code:</p><blockquote><p>Jean-Paul Hugonin, & Philippe Lalanne. (2021). Light-in-complex-nanostructures/RETICOLO: V9. Zenodo. <a href="https://doi.org/10.5281/zenodo.4419063">https://doi.org/10.5281/zenodo.4419063</a></p></blockquote>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 8