Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387574222> ?p ?o ?g. }
- W4387574222 abstract "Optical metamaterials manipulate light through various confinement and scattering processes, offering unique advantages like high performance, small form factor and easy integration with semiconductor devices. However, designing metasurfaces with suitable optical responses for complex metamaterial systems remains challenging due to the exponentially growing computation cost and the ill‐posed nature of inverse problems. To expedite the computation for the inverse design of metasurfaces, a physics‐informed deep learning (DL) framework is used. A tandem DL architecture with physics‐based learning is used to select designs that are scientifically consistent, have low error in design prediction, and accurate reconstruction of optical responses. The authors focus on the inverse design of a representative plasmonic device and consider the prediction of design for the optical response of a single wavelength incident or a spectrum of wavelength in the visible light range. The physics‐based constraint is derived from solving the electromagnetic wave equations for a simplified homogenized model. The model converges with an accuracy up to 97% for inverse design prediction with the optical response for the visible light spectrum as input, and up to 96% for optical response of single wavelength of light as input, with optical response reconstruction accuracy of 99%." @default.
- W4387574222 created "2023-10-13" @default.
- W4387574222 creator A5020414072 @default.
- W4387574222 creator A5025966673 @default.
- W4387574222 creator A5040697039 @default.
- W4387574222 creator A5044504197 @default.
- W4387574222 creator A5054643872 @default.
- W4387574222 creator A5082588269 @default.
- W4387574222 creator A5092735076 @default.
- W4387574222 date "2023-10-11" @default.
- W4387574222 modified "2023-10-13" @default.
- W4387574222 title "Physics‐Informed Machine Learning for Inverse Design of Optical Metamaterials" @default.
- W4387574222 cites W1912610537 @default.
- W4387574222 cites W1972446839 @default.
- W4387574222 cites W1974993667 @default.
- W4387574222 cites W1994931733 @default.
- W4387574222 cites W1996713116 @default.
- W4387574222 cites W2006183172 @default.
- W4387574222 cites W2018322923 @default.
- W4387574222 cites W2047120220 @default.
- W4387574222 cites W2047560651 @default.
- W4387574222 cites W2070161878 @default.
- W4387574222 cites W2071909319 @default.
- W4387574222 cites W2087657994 @default.
- W4387574222 cites W2092533704 @default.
- W4387574222 cites W2093985021 @default.
- W4387574222 cites W2625224068 @default.
- W4387574222 cites W2766162919 @default.
- W4387574222 cites W2793383940 @default.
- W4387574222 cites W2803281408 @default.
- W4387574222 cites W2804583240 @default.
- W4387574222 cites W2806536390 @default.
- W4387574222 cites W2891797827 @default.
- W4387574222 cites W2899283552 @default.
- W4387574222 cites W2914973752 @default.
- W4387574222 cites W2915088635 @default.
- W4387574222 cites W2921927050 @default.
- W4387574222 cites W2962834855 @default.
- W4387574222 cites W2963807552 @default.
- W4387574222 cites W2974878544 @default.
- W4387574222 cites W2982537388 @default.
- W4387574222 cites W2998004632 @default.
- W4387574222 cites W3000404031 @default.
- W4387574222 cites W3003905418 @default.
- W4387574222 cites W3022842145 @default.
- W4387574222 cites W3023724586 @default.
- W4387574222 cites W3023907686 @default.
- W4387574222 cites W3035650744 @default.
- W4387574222 cites W3035920506 @default.
- W4387574222 cites W3047722559 @default.
- W4387574222 cites W3091804884 @default.
- W4387574222 cites W3092323705 @default.
- W4387574222 cites W3099057226 @default.
- W4387574222 cites W3100996627 @default.
- W4387574222 cites W3101398262 @default.
- W4387574222 cites W3104465516 @default.
- W4387574222 cites W3119005585 @default.
- W4387574222 cites W3119472565 @default.
- W4387574222 cites W3128105650 @default.
- W4387574222 cites W3163993681 @default.
- W4387574222 cites W3168693657 @default.
- W4387574222 cites W3186236435 @default.
- W4387574222 cites W3200032532 @default.
- W4387574222 cites W3201311145 @default.
- W4387574222 cites W3213254330 @default.
- W4387574222 cites W4205893127 @default.
- W4387574222 cites W4206135183 @default.
- W4387574222 cites W4206506166 @default.
- W4387574222 cites W4210927770 @default.
- W4387574222 cites W4214534591 @default.
- W4387574222 cites W4224089288 @default.
- W4387574222 cites W4224866908 @default.
- W4387574222 cites W4225535308 @default.
- W4387574222 cites W4295024999 @default.
- W4387574222 cites W4303453688 @default.
- W4387574222 cites W4383557885 @default.
- W4387574222 doi "https://doi.org/10.1002/adpr.202300158" @default.
- W4387574222 hasPublicationYear "2023" @default.
- W4387574222 type Work @default.
- W4387574222 citedByCount "0" @default.
- W4387574222 crossrefType "journal-article" @default.
- W4387574222 hasAuthorship W4387574222A5020414072 @default.
- W4387574222 hasAuthorship W4387574222A5025966673 @default.
- W4387574222 hasAuthorship W4387574222A5040697039 @default.
- W4387574222 hasAuthorship W4387574222A5044504197 @default.
- W4387574222 hasAuthorship W4387574222A5054643872 @default.
- W4387574222 hasAuthorship W4387574222A5082588269 @default.
- W4387574222 hasAuthorship W4387574222A5092735076 @default.
- W4387574222 hasBestOaLocation W43875742221 @default.
- W4387574222 hasConcept C110367647 @default.
- W4387574222 hasConcept C11413529 @default.
- W4387574222 hasConcept C120665830 @default.
- W4387574222 hasConcept C121332964 @default.
- W4387574222 hasConcept C134306372 @default.
- W4387574222 hasConcept C135252773 @default.
- W4387574222 hasConcept C155761240 @default.
- W4387574222 hasConcept C192209626 @default.
- W4387574222 hasConcept C207467116 @default.
- W4387574222 hasConcept C2524010 @default.
- W4387574222 hasConcept C33923547 @default.