Plasmonic nanostructure design and characterization via Deep Learning


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Oct. 18, 2021, 7:46 a.m.

Plasmonic nanostructure design and characterization via Deep Learning

Malkiel, I., Mrejen, M., Nagler, A. et al.
Malkiel, I., Mrejen, M., Nagler, A. et al. Plasmonic nanostructure design and characterization via Deep Learning. Light Sci Appl 7, 60 (2018). https://doi.org/10.1038/s41377-018-0060-7
DOI:  10.1038/s41377-018-0060-7      

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Why should we reproduce your paper?
The current code is written in Torch, which is no longer actively maintained. Since deep learning in nanophotonics is an area of active interest (e.g. for the design of new metamaterials), it is important to update the code to use a more modern deep learning library such as tensorflow/keras
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Resources

  Paper URL: https://www.nature.com/articles/s41377-018-0060-7#citeas
  Data URL: https://github.com/ItzikMalkiel/DeepNanoDesign
  Code URL: https://github.com/ItzikMalkiel/DeepNanoDesign
Tags: Python tensorflow keras Pandas

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