An iterative neural-network-based optimizer discovers a silicon L3 photonic crystal nanocavity design with a theoretical quality factor above 11 million, using 8,070 simulations.
Opti izatio of photo ic crystal a ocavities based o deep lear i g,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.comp-ph 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Iterative optimization of photonic crystal nanocavity designs by using deep neural networks
An iterative neural-network-based optimizer discovers a silicon L3 photonic crystal nanocavity design with a theoretical quality factor above 11 million, using 8,070 simulations.