Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386805491> ?p ?o ?g. }
- W4386805491 endingPage "112331" @default.
- W4386805491 startingPage "112331" @default.
- W4386805491 abstract "Although the development of graphene broadband terahertz (THz) absorbers is relatively mature, studies focusing on modulating the absorption window remain limited. Existing research has mainly concentrated on achieving absorption window switching via the phase transition of materials like vanadium dioxide (VO2). However, this method typically allows for switching within two specific windows, lacking the capacity for arbitrary and flexible regulation. This study introduces a novel approach involving a bilayer graphene metasurface absorber (BGMA) to address this limitation, which allows arbitrary manipulation of the absorption windows. To facilitate rapid and accurate selection of the structural parameters, an artificial neural network (ANN)-based inverse design method is employed, which achieves a tunable absorption bandwidth of 6.70 THz with an error amount to 0.59%. Through in-depth mechanistic analyses, it is demonstrated that the BGMA can achieve tunable absorption between a low-frequency broadband absorption (L-FBA) mode and a high-frequency broadband absorption (H-FBA) mode. This tunability arises from the transition between graphene localized surface plasmon resonance and graphene surface plasmon resonance. Overall, the outcomes of this study underscore the remarkable tunable performance of the BGMA achieved through ANN-based inverse design. This innovation holds significant promise for applications in security detection, and object stealth." @default.
- W4386805491 created "2023-09-17" @default.
- W4386805491 creator A5043806705 @default.
- W4386805491 creator A5054182748 @default.
- W4386805491 creator A5063853143 @default.
- W4386805491 creator A5066786495 @default.
- W4386805491 creator A5074918971 @default.
- W4386805491 creator A5076947773 @default.
- W4386805491 creator A5089860483 @default.
- W4386805491 creator A5090048527 @default.
- W4386805491 date "2023-10-01" @default.
- W4386805491 modified "2023-09-27" @default.
- W4386805491 title "Artificial neural network-based inverse design of metasurface absorber with tunable absorption window" @default.
- W4386805491 cites W2027029957 @default.
- W4386805491 cites W2028783209 @default.
- W4386805491 cites W2040690587 @default.
- W4386805491 cites W2093630040 @default.
- W4386805491 cites W2094393199 @default.
- W4386805491 cites W2104983300 @default.
- W4386805491 cites W2121607567 @default.
- W4386805491 cites W2134814322 @default.
- W4386805491 cites W2161488877 @default.
- W4386805491 cites W2335776074 @default.
- W4386805491 cites W2562141870 @default.
- W4386805491 cites W2889507487 @default.
- W4386805491 cites W2898090400 @default.
- W4386805491 cites W2898448661 @default.
- W4386805491 cites W2933179938 @default.
- W4386805491 cites W2956449284 @default.
- W4386805491 cites W2979950223 @default.
- W4386805491 cites W2983272182 @default.
- W4386805491 cites W2998322418 @default.
- W4386805491 cites W3016855329 @default.
- W4386805491 cites W3026747977 @default.
- W4386805491 cites W3041789375 @default.
- W4386805491 cites W3106670720 @default.
- W4386805491 cites W3111550282 @default.
- W4386805491 cites W3113757854 @default.
- W4386805491 cites W3134851458 @default.
- W4386805491 cites W3136993430 @default.
- W4386805491 cites W3143005349 @default.
- W4386805491 cites W3156322283 @default.
- W4386805491 cites W3156481580 @default.
- W4386805491 cites W3158230545 @default.
- W4386805491 cites W3170255220 @default.
- W4386805491 cites W3177619597 @default.
- W4386805491 cites W3216964393 @default.
- W4386805491 cites W4200236889 @default.
- W4386805491 cites W4206719140 @default.
- W4386805491 cites W4210518456 @default.
- W4386805491 cites W4210538803 @default.
- W4386805491 cites W4221034234 @default.
- W4386805491 cites W4224117730 @default.
- W4386805491 cites W4224221596 @default.
- W4386805491 cites W4226078146 @default.
- W4386805491 cites W4226490230 @default.
- W4386805491 cites W4283014155 @default.
- W4386805491 cites W4283208131 @default.
- W4386805491 cites W4283379860 @default.
- W4386805491 cites W4283588455 @default.
- W4386805491 cites W4293092941 @default.
- W4386805491 cites W4306630524 @default.
- W4386805491 cites W4311967495 @default.
- W4386805491 cites W4312052204 @default.
- W4386805491 cites W4321435670 @default.
- W4386805491 cites W4322618182 @default.
- W4386805491 cites W4362633028 @default.
- W4386805491 cites W4379600034 @default.
- W4386805491 cites W4383825339 @default.
- W4386805491 doi "https://doi.org/10.1016/j.matdes.2023.112331" @default.
- W4386805491 hasPublicationYear "2023" @default.
- W4386805491 type Work @default.
- W4386805491 citedByCount "0" @default.
- W4386805491 crossrefType "journal-article" @default.
- W4386805491 hasAuthorship W4386805491A5043806705 @default.
- W4386805491 hasAuthorship W4386805491A5054182748 @default.
- W4386805491 hasAuthorship W4386805491A5063853143 @default.
- W4386805491 hasAuthorship W4386805491A5066786495 @default.
- W4386805491 hasAuthorship W4386805491A5074918971 @default.
- W4386805491 hasAuthorship W4386805491A5076947773 @default.
- W4386805491 hasAuthorship W4386805491A5089860483 @default.
- W4386805491 hasAuthorship W4386805491A5090048527 @default.
- W4386805491 hasBestOaLocation W43868054911 @default.
- W4386805491 hasConcept C106847996 @default.
- W4386805491 hasConcept C107816215 @default.
- W4386805491 hasConcept C110879396 @default.
- W4386805491 hasConcept C120665830 @default.
- W4386805491 hasConcept C121332964 @default.
- W4386805491 hasConcept C125287762 @default.
- W4386805491 hasConcept C136676167 @default.
- W4386805491 hasConcept C155672457 @default.
- W4386805491 hasConcept C159985019 @default.
- W4386805491 hasConcept C171250308 @default.
- W4386805491 hasConcept C192562407 @default.
- W4386805491 hasConcept C2776257435 @default.
- W4386805491 hasConcept C30080830 @default.
- W4386805491 hasConcept C41008148 @default.
- W4386805491 hasConcept C49040817 @default.