Matches in SemOpenAlex for { <https://semopenalex.org/work/W4287371343> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4287371343 abstract "Beyond the scope of conventional metasurface which necessitates plenty of computational resources and time, an inverse design approach using machine learning algorithms promises an effective way for metasurfaces design. In this paper, benefiting from Deep Neural Network (DNN), an inverse design procedure of a metasurface in an ultra-wide working frequency band is presented where the output unit cell structure can be directly computed by a specified design target. To reach the highest working frequency, for training the DNN, we consider 8 ring-shaped patterns to generate resonant notches at a wide range of working frequencies from 4 to 45 GHz. We propose two network architectures. In one architecture, we restricted the output of the DNN, so the network can only generate the metasurface structure from the input of 8 ring-shaped patterns. This approach drastically reduces the computational time, while keeping the network's accuracy above 91%. We show that our model based on DNN can satisfactorily generate the output metasurface structure with an average accuracy of over 90% in both network architectures. Determination of the metasurface structure directly without time-consuming optimization procedures, having an ultra-wide working frequency, and high average accuracy equip an inspiring platform for engineering projects without the need for complex electromagnetic theory." @default.
- W4287371343 created "2022-07-25" @default.
- W4287371343 creator A5022733124 @default.
- W4287371343 creator A5036021282 @default.
- W4287371343 creator A5049804551 @default.
- W4287371343 creator A5075566770 @default.
- W4287371343 creator A5078997907 @default.
- W4287371343 creator A5091253761 @default.
- W4287371343 date "2021-01-22" @default.
- W4287371343 modified "2023-09-24" @default.
- W4287371343 title "Deep neural network-based automatic metasurface design with a wide frequency range" @default.
- W4287371343 doi "https://doi.org/10.48550/arxiv.2101.10866" @default.
- W4287371343 hasPublicationYear "2021" @default.
- W4287371343 type Work @default.
- W4287371343 citedByCount "0" @default.
- W4287371343 crossrefType "posted-content" @default.
- W4287371343 hasAuthorship W4287371343A5022733124 @default.
- W4287371343 hasAuthorship W4287371343A5036021282 @default.
- W4287371343 hasAuthorship W4287371343A5049804551 @default.
- W4287371343 hasAuthorship W4287371343A5075566770 @default.
- W4287371343 hasAuthorship W4287371343A5078997907 @default.
- W4287371343 hasAuthorship W4287371343A5091253761 @default.
- W4287371343 hasBestOaLocation W42873713431 @default.
- W4287371343 hasConcept C108583219 @default.
- W4287371343 hasConcept C113775141 @default.
- W4287371343 hasConcept C118524514 @default.
- W4287371343 hasConcept C127413603 @default.
- W4287371343 hasConcept C146978453 @default.
- W4287371343 hasConcept C154945302 @default.
- W4287371343 hasConcept C178790620 @default.
- W4287371343 hasConcept C185592680 @default.
- W4287371343 hasConcept C204323151 @default.
- W4287371343 hasConcept C207467116 @default.
- W4287371343 hasConcept C24326235 @default.
- W4287371343 hasConcept C2524010 @default.
- W4287371343 hasConcept C2780378348 @default.
- W4287371343 hasConcept C33923547 @default.
- W4287371343 hasConcept C41008148 @default.
- W4287371343 hasConcept C50644808 @default.
- W4287371343 hasConcept C76155785 @default.
- W4287371343 hasConcept C92545706 @default.
- W4287371343 hasConceptScore W4287371343C108583219 @default.
- W4287371343 hasConceptScore W4287371343C113775141 @default.
- W4287371343 hasConceptScore W4287371343C118524514 @default.
- W4287371343 hasConceptScore W4287371343C127413603 @default.
- W4287371343 hasConceptScore W4287371343C146978453 @default.
- W4287371343 hasConceptScore W4287371343C154945302 @default.
- W4287371343 hasConceptScore W4287371343C178790620 @default.
- W4287371343 hasConceptScore W4287371343C185592680 @default.
- W4287371343 hasConceptScore W4287371343C204323151 @default.
- W4287371343 hasConceptScore W4287371343C207467116 @default.
- W4287371343 hasConceptScore W4287371343C24326235 @default.
- W4287371343 hasConceptScore W4287371343C2524010 @default.
- W4287371343 hasConceptScore W4287371343C2780378348 @default.
- W4287371343 hasConceptScore W4287371343C33923547 @default.
- W4287371343 hasConceptScore W4287371343C41008148 @default.
- W4287371343 hasConceptScore W4287371343C50644808 @default.
- W4287371343 hasConceptScore W4287371343C76155785 @default.
- W4287371343 hasConceptScore W4287371343C92545706 @default.
- W4287371343 hasLocation W42873713431 @default.
- W4287371343 hasOpenAccess W4287371343 @default.
- W4287371343 hasPrimaryLocation W42873713431 @default.
- W4287371343 hasRelatedWork W2563787691 @default.
- W4287371343 hasRelatedWork W2604802223 @default.
- W4287371343 hasRelatedWork W2783121225 @default.
- W4287371343 hasRelatedWork W2801550278 @default.
- W4287371343 hasRelatedWork W2897366704 @default.
- W4287371343 hasRelatedWork W2920938200 @default.
- W4287371343 hasRelatedWork W3143910385 @default.
- W4287371343 hasRelatedWork W3160236860 @default.
- W4287371343 hasRelatedWork W4200418185 @default.
- W4287371343 hasRelatedWork W4287371343 @default.
- W4287371343 isParatext "false" @default.
- W4287371343 isRetracted "false" @default.
- W4287371343 workType "article" @default.