FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4225524148> ?p ?o ?g. }

• W4225524148 endingPage "3076" @default.
• W4225524148 startingPage "3076" @default.
• W4225524148 abstract "The scattering enhancement technique has shown prominent potential in various regimes such as satellite communication, Radar Cross Section (RCS) camouflage, and remote sensing. Currently, the scattering enhancement devices based on the metasurface have shown advantages in light weight and better performance. These metasurfaces always possess complex structure, it is hard to achieve through the tradition trial-and-error method which relies on the full-wave numerical simulation. In this paper, a new method combining the machine learning and the evolution optimization algorithm is proposed to design the metasurface retroreflector (MRF) for arbitrary direction incident wave. In this method, a predicting model and a generative inverse design model are constructed and trained, the predicting model is used to evaluate the fitness of each offspring in the genetic algorithm (GA), the generative model is used to initialize the first offspring of the GA by inverse generate the MRF based on the requirements of the designer. With the assistance of these two machine learning models, the evolution optimization algorithm is employed to find the optimal design of the MRF. This approach enables automatic solution of electromagnetic inverse design problems and opens the way to facilitate the optimization of other metadevices." @default.
• W4225524148 created "2022-05-05" @default.
• W4225524148 creator A5005923787 @default.
• W4225524148 creator A5022402131 @default.
• W4225524148 creator A5033374524 @default.
• W4225524148 creator A5039891508 @default.
• W4225524148 creator A5042617162 @default.
• W4225524148 creator A5045233317 @default.
• W4225524148 creator A5054794461 @default.
• W4225524148 creator A5065753776 @default.
• W4225524148 date "2022-01-14" @default.
• W4225524148 modified "2023-10-17" @default.
• W4225524148 title "Machine-learning-assisted inverse design of scattering enhanced metasurface" @default.
• W4225524148 cites W1964119045 @default.
• W4225524148 cites W1984020445 @default.
• W4225524148 cites W1995796806 @default.
• W4225524148 cites W2018632921 @default.
• W4225524148 cites W2027029957 @default.
• W4225524148 cites W2027197837 @default.
• W4225524148 cites W2027409326 @default.
• W4225524148 cites W2051206671 @default.
• W4225524148 cites W2072639809 @default.
• W4225524148 cites W2082432933 @default.
• W4225524148 cites W2094393199 @default.
• W4225524148 cites W2102478563 @default.
• W4225524148 cites W2103496339 @default.
• W4225524148 cites W2127388200 @default.
• W4225524148 cites W2235488713 @default.
• W4225524148 cites W2327483058 @default.
• W4225524148 cites W2582178220 @default.
• W4225524148 cites W2766162919 @default.
• W4225524148 cites W2800017313 @default.
• W4225524148 cites W2803281408 @default.
• W4225524148 cites W2803782593 @default.
• W4225524148 cites W2891347280 @default.
• W4225524148 cites W2924184292 @default.
• W4225524148 cites W2965959756 @default.
• W4225524148 cites W2974878544 @default.
• W4225524148 cites W2994938415 @default.
• W4225524148 cites W3006047400 @default.
• W4225524148 cites W3021146441 @default.
• W4225524148 cites W3026141678 @default.
• W4225524148 cites W3038092095 @default.
• W4225524148 cites W3098697730 @default.
• W4225524148 cites W3101190116 @default.
• W4225524148 cites W3105195789 @default.
• W4225524148 cites W3116539164 @default.
• W4225524148 cites W3125795582 @default.
• W4225524148 cites W4205947740 @default.
• W4225524148 doi "https://doi.org/10.1364/oe.448051" @default.
• W4225524148 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35209434" @default.
• W4225524148 hasPublicationYear "2022" @default.
• W4225524148 type Work @default.
• W4225524148 citedByCount "10" @default.
• W4225524148 countsByYear W42255241482022 @default.
• W4225524148 countsByYear W42255241482023 @default.
• W4225524148 crossrefType "journal-article" @default.
• W4225524148 hasAuthorship W4225524148A5005923787 @default.
• W4225524148 hasAuthorship W4225524148A5022402131 @default.
• W4225524148 hasAuthorship W4225524148A5033374524 @default.
• W4225524148 hasAuthorship W4225524148A5039891508 @default.
• W4225524148 hasAuthorship W4225524148A5042617162 @default.
• W4225524148 hasAuthorship W4225524148A5045233317 @default.
• W4225524148 hasAuthorship W4225524148A5054794461 @default.
• W4225524148 hasAuthorship W4225524148A5065753776 @default.
• W4225524148 hasBestOaLocation W42255241481 @default.
• W4225524148 hasConcept C101457746 @default.
• W4225524148 hasConcept C110367647 @default.
• W4225524148 hasConcept C11413529 @default.
• W4225524148 hasConcept C119857082 @default.
• W4225524148 hasConcept C120665830 @default.
• W4225524148 hasConcept C121332964 @default.
• W4225524148 hasConcept C134306372 @default.
• W4225524148 hasConcept C135252773 @default.
• W4225524148 hasConcept C154945302 @default.
• W4225524148 hasConcept C174558057 @default.
• W4225524148 hasConcept C191486275 @default.
• W4225524148 hasConcept C207467116 @default.
• W4225524148 hasConcept C2524010 @default.
• W4225524148 hasConcept C2776196576 @default.
• W4225524148 hasConcept C2778493900 @default.
• W4225524148 hasConcept C33923547 @default.
• W4225524148 hasConcept C41008148 @default.
• W4225524148 hasConcept C554190296 @default.
• W4225524148 hasConcept C76155785 @default.
• W4225524148 hasConcept C8880873 @default.
• W4225524148 hasConceptScore W4225524148C101457746 @default.
• W4225524148 hasConceptScore W4225524148C110367647 @default.
• W4225524148 hasConceptScore W4225524148C11413529 @default.
• W4225524148 hasConceptScore W4225524148C119857082 @default.
• W4225524148 hasConceptScore W4225524148C120665830 @default.
• W4225524148 hasConceptScore W4225524148C121332964 @default.
• W4225524148 hasConceptScore W4225524148C134306372 @default.
• W4225524148 hasConceptScore W4225524148C135252773 @default.
• W4225524148 hasConceptScore W4225524148C154945302 @default.
• W4225524148 hasConceptScore W4225524148C174558057 @default.
• W4225524148 hasConceptScore W4225524148C191486275 @default.
• W4225524148 hasConceptScore W4225524148C207467116 @default.

• next