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

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 proceeding › Conference contribution

1 Scopus citations

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 language	English
Title of host publication	Optics InfoBase Conference Papers
State	Published - Jan 1 2021
Externally published	Yes

Cite this

@inproceedings{6bba76edb771419db94f0726de029fc4,

title = "Artificial intelligence assisted optimization and prediction of absorption of metasurfaces for hot-electron generation",

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.",

author = "Raktim Sarma and Michael Goldflam and Emily Donahue and Abigail Pribisova and Sylvain Gennaro and Jeremy Wright and Igal Brener and Jayson Briscoe",

year = "2021",

month = jan,

day = "1",

language = "English",

booktitle = "Optics InfoBase Conference Papers",

}

TY - GEN

T1 - Artificial intelligence assisted optimization and prediction of absorption of metasurfaces for hot-electron generation

AU - Sarma, Raktim

AU - Goldflam, Michael

AU - Donahue, Emily

AU - Pribisova, Abigail

AU - Gennaro, Sylvain

AU - Wright, Jeremy

AU - Brener, Igal

AU - Briscoe, Jayson

PY - 2021/1/1

Y1 - 2021/1/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85119405760

M3 - Conference contribution

BT - Optics InfoBase Conference Papers

ER -

Artificial intelligence assisted optimization and prediction of absorption of metasurfaces for hot-electron generation

Abstract

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