Data and code underlying the publication: Pentagonal Photonic Crystal Mirrors: Scalable Lightsails with Enhanced Acceleration via Neural Topology Optimization

doi:
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/fa47f4e9-4c28-4b50-9615-b35216aacdfc
Datacite citation style:
Norder, Lucas; Yin, Shunyu; de Jong, Matthijs; Norte, Richard; Bessa, Miguel (2024): Data and code underlying the publication: Pentagonal Photonic Crystal Mirrors: Scalable Lightsails with Enhanced Acceleration via Neural Topology Optimization. Version 2. 4TU.ResearchData. dataset. https://doi.org/unavailable
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2024-12-12 (latest)
version 1 - 2024-12-12

The optimization results and measurement data were used to generate the figures for the publication Pentagonal Photonic Crystal Mirrors: Scalable Lightsails with Enhanced Acceleration via Neural Topology Optimization. The optimization results are created by optimizing PhC unit cells for acceleration distance or time with neural topology optimization. The measurement data is the output from the photodiode captured with the oscilloscope to measure the reflectivity of the fabricated PhC membrane.


history
  • 2024-12-12 first online, published, posted
publisher
4TU.ResearchData
format
.py; .pyn; .hdf5; .opd; .txt; .png; .nc; .csv
organizations
TU Delft, Faculty of Mechanical Engineering, Department of Precision and Microsystems Engineering (PME)

DATA

files (2)