Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912984729> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2912984729 abstract "In this article, we propose a novel method using machine learning, especially for artificial neural networks (ANNs) to achieve variability analysis and performance optimization of the plasmonic refractive index sensor (RIS). A Fano resonance (FR) based RIS which consisted of two plasmonic waveguides end-coupled to each other by an asymmetrical square resonator is taken as an illustration to demonstrate the effectiveness of the ANNs. The results reveal that the ANNs can be used in fast and accurate variability analysis because the predicted transmission spectrums and transmittances generated by ANNs are approximate to the actual simulated results. In addition, the ANNs can effectively solve the performance optimization and inverse design problems for the RIS by predicting the structure parameters for RIS accurately. Obviously, our proposed method has potential applications in optical sensing, device design, optical interconnects and so on." @default.
- W2912984729 created "2019-02-21" @default.
- W2912984729 creator A5000297010 @default.
- W2912984729 creator A5010224107 @default.
- W2912984729 creator A5020495802 @default.
- W2912984729 creator A5042489379 @default.
- W2912984729 creator A5043893150 @default.
- W2912984729 creator A5050774387 @default.
- W2912984729 creator A5052384789 @default.
- W2912984729 date "2019-02-14" @default.
- W2912984729 modified "2023-10-16" @default.
- W2912984729 title "Performance optimization for plasmonic refractive index sensor based on machine learning" @default.
- W2912984729 cites W1606317963 @default.
- W2912984729 cites W2005408566 @default.
- W2912984729 cites W2010030112 @default.
- W2912984729 cites W2062614131 @default.
- W2912984729 cites W2070607740 @default.
- W2912984729 cites W2071324772 @default.
- W2912984729 cites W2090166149 @default.
- W2912984729 cites W2586769250 @default.
- W2912984729 cites W2765912638 @default.
- W2912984729 cites W2766162919 @default.
- W2912984729 cites W3123988018 @default.
- W2912984729 doi "https://doi.org/10.1117/12.2519699" @default.
- W2912984729 hasPublicationYear "2019" @default.
- W2912984729 type Work @default.
- W2912984729 sameAs 2912984729 @default.
- W2912984729 citedByCount "1" @default.
- W2912984729 countsByYear W29129847292019 @default.
- W2912984729 crossrefType "proceedings-article" @default.
- W2912984729 hasAuthorship W2912984729A5000297010 @default.
- W2912984729 hasAuthorship W2912984729A5010224107 @default.
- W2912984729 hasAuthorship W2912984729A5020495802 @default.
- W2912984729 hasAuthorship W2912984729A5042489379 @default.
- W2912984729 hasAuthorship W2912984729A5043893150 @default.
- W2912984729 hasAuthorship W2912984729A5050774387 @default.
- W2912984729 hasAuthorship W2912984729A5052384789 @default.
- W2912984729 hasConcept C110879396 @default.
- W2912984729 hasConcept C127413603 @default.
- W2912984729 hasConcept C134306372 @default.
- W2912984729 hasConcept C135252773 @default.
- W2912984729 hasConcept C154945302 @default.
- W2912984729 hasConcept C192562407 @default.
- W2912984729 hasConcept C207467116 @default.
- W2912984729 hasConcept C23400741 @default.
- W2912984729 hasConcept C24326235 @default.
- W2912984729 hasConcept C2524010 @default.
- W2912984729 hasConcept C33923547 @default.
- W2912984729 hasConcept C41008148 @default.
- W2912984729 hasConcept C42067758 @default.
- W2912984729 hasConcept C49040817 @default.
- W2912984729 hasConcept C50644808 @default.
- W2912984729 hasConcept C761482 @default.
- W2912984729 hasConcept C76155785 @default.
- W2912984729 hasConcept C97126364 @default.
- W2912984729 hasConceptScore W2912984729C110879396 @default.
- W2912984729 hasConceptScore W2912984729C127413603 @default.
- W2912984729 hasConceptScore W2912984729C134306372 @default.
- W2912984729 hasConceptScore W2912984729C135252773 @default.
- W2912984729 hasConceptScore W2912984729C154945302 @default.
- W2912984729 hasConceptScore W2912984729C192562407 @default.
- W2912984729 hasConceptScore W2912984729C207467116 @default.
- W2912984729 hasConceptScore W2912984729C23400741 @default.
- W2912984729 hasConceptScore W2912984729C24326235 @default.
- W2912984729 hasConceptScore W2912984729C2524010 @default.
- W2912984729 hasConceptScore W2912984729C33923547 @default.
- W2912984729 hasConceptScore W2912984729C41008148 @default.
- W2912984729 hasConceptScore W2912984729C42067758 @default.
- W2912984729 hasConceptScore W2912984729C49040817 @default.
- W2912984729 hasConceptScore W2912984729C50644808 @default.
- W2912984729 hasConceptScore W2912984729C761482 @default.
- W2912984729 hasConceptScore W2912984729C76155785 @default.
- W2912984729 hasConceptScore W2912984729C97126364 @default.
- W2912984729 hasLocation W29129847291 @default.
- W2912984729 hasOpenAccess W2912984729 @default.
- W2912984729 hasPrimaryLocation W29129847291 @default.
- W2912984729 hasRelatedWork W2167635694 @default.
- W2912984729 hasRelatedWork W2794079422 @default.
- W2912984729 hasRelatedWork W2804787033 @default.
- W2912984729 hasRelatedWork W2912984729 @default.
- W2912984729 hasRelatedWork W3137923305 @default.
- W2912984729 hasRelatedWork W3197178027 @default.
- W2912984729 hasRelatedWork W3217022336 @default.
- W2912984729 hasRelatedWork W4234089174 @default.
- W2912984729 hasRelatedWork W4281286580 @default.
- W2912984729 hasRelatedWork W4286629443 @default.
- W2912984729 isParatext "false" @default.
- W2912984729 isRetracted "false" @default.
- W2912984729 magId "2912984729" @default.
- W2912984729 workType "article" @default.