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Artificial Intelligence Assisted Optimization and Prediction of Absorption of Metasurfaces for Hot-Electron Generation

  • Raktim Sarma
  • , Michael Goldflam
  • , Emily Donahue
  • , Abigail Pribisova
  • , Sylvain Gennaro
  • , Jeremy Wright
  • , Igal Brener
  • , Jayson Briscoe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We use artificial intelligence techniques such as the genetic algorithm and convolutional neural networks for optimization and prediction of absorption spectra of plasmonic metasurfaces for enhancing hot-electron generation. The predictions of our algorithms agree well to experimental results.
Original languageEnglish
Title of host publication2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
StatePublished - May 1 2021
Externally publishedYes

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