Data and code underlying the publication: Pentagonal Photonic Crystal Mirrors: Scalable Lightsails with Enhanced Acceleration via Neural Topology Optimization
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 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/fa47f4e9-4c28-4b50-9615-b35216aacdfc.v1
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
categories
licence
CC BY 4.0
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)
- 1,919 bytesMD5:
eda5fd0b4cf3ecebb91dc6f2c86e4f07
README.txt - 440,813,698 bytesMD5:
138747e593fbc5c15b189016edeaa6bb
DataAndCode.zip -
download all files (zip)
440,815,617 bytes unzipped