Dataset for "Deep learning enabled design of complex transmission matrices for universal optical components"
DOI:10.5258/SOTON/D1681

Readme author: Peter Wiecha, University of Southampton / LAAS-CNRS Toulouse, France
 
Supports the paper
N. J. Dinsdale, P. R. Wiecha, M. Delaney, J. Reynolds, M. Ebert, I. Zeimpekis, D. J. Thomson, G. T. Reed, P. Lalanne, K. Vynck, O. L. Muskens "Deep learning enabled design of complex transmission matrices for universal optical components". ACS Photonics (2020)
Paper DOI: 10.1021/acsphotonics.0c01481

Data produced / collected 1/1/2020 - 1/12/2020

License CC BY

Projects: EP/M015130/1, EP/L021129/1

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figures.zip:

Raw data used for producing the main paper figures. Each figure's dataset is bundled in an according subfolder with a corresponding 'readme' file. The data is labeled in an understandable form, if applicable headers have been added to raw-data textfiles.


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figures_SI.zip:

Raw data used for producing the supporting information figures. Each figure's dataset is bundled in an according subfolder with a corresponding 'readme' file. The data is labeled in an understandable form, if applicable headers have been added to raw-data textfiles.