2022
DOI: 10.1021/acsnano.1c09298
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Maximized Frequency Doubling through the Inverse Design of Nonlinear Metamaterials

Abstract: The conventional process for developing an optimal design for nonlinear optical responses is based on a trial-and-error approach that is largely inefficient and does not necessarily lead to an ideal result. Deep learning can automate this process and widen the realm of nonlinear geometries and devices. This research illustrates a deep learning framework used to create an optimal plasmonic design for a nonlinear metamaterial. The algorithm produces a plasmonic pattern that can maximize the second-order nonlinea… Show more

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Cited by 20 publications
(8 citation statements)
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“…2019; Raju et al. 2022). Indeed, in our tests this behaviour can be observed even for very small amplitude incident waves (i.e.…”
Section: Discussionmentioning
confidence: 99%
“…2019; Raju et al. 2022). Indeed, in our tests this behaviour can be observed even for very small amplitude incident waves (i.e.…”
Section: Discussionmentioning
confidence: 99%
“…The general framework for this work, focused on SFG, requires a pattern generation network and simulator network 4 . Given the SFG nonlinear metamaterial parameters, utilizing a pattern generator and simulator, we can find an optimal plasmonic geometry for the device to maximize the sum-frequency generation.…”
Section: Sfg Nonlinear Metamaterials Parametersmentioning
confidence: 99%
“…[ 21,22 ] Generally, such resonances are accompanied by enhancement of local electric or magnetic fields, leading to enhanced nonlinear responses such as second harmonic generation (SHG) and third harmonic generation (THG). [ 23–25 ] Although the overall nonlinear efficiency of the reported metasurfaces is still not comparable to that in conventional nonlinear crystals, the nonlinear efficiency of metasurfaces is much higher when considering their planar nature. Most importantly, metasurfaces provide an efficient platform for optical frequency mixing and high harmonic generation.…”
Section: Introductionmentioning
confidence: 99%