@inproceedings{0186a37de60d4db190caa3626f7bb536,
title = "Deep Learning for Generalized Multiobjective Optimization of Metamaterials",
abstract = "The inverse-design of metamaterials often requires full-wave evaluation of an enormous number of different candidate designs, which can be extremely time consuming and, in many cases of practical interest, even intractable. By introducing deep learning at an early stage in the design process, a generalized network can be paired with multiobjective optimization to rapidly solve a variety of complex electromagnetic metamaterial design problems.",
author = "Jenkins, {R. P.} and O'Connor, {P. J.} and Campbell, {S. D.} and Werner, {P. L.} and Werner, {D. H.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 14th International Congress on Artificial Materials for Novel Wave Phenomena, Metamaterials 2020 ; Conference date: 27-09-2020 Through 03-10-2020",
year = "2020",
month = sep,
day = "27",
doi = "10.1109/Metamaterials49557.2020.9285137",
language = "English (US)",
series = "2020 14th International Congress on Artificial Materials for Novel Wave Phenomena, Metamaterials 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "261--263",
booktitle = "2020 14th International Congress on Artificial Materials for Novel Wave Phenomena, Metamaterials 2020",
address = "United States",
}