Matches in SemOpenAlex for { <https://semopenalex.org/work/W3120377554> ?p ?o ?g. }
- W3120377554 endingPage "9053" @default.
- W3120377554 startingPage "9046" @default.
- W3120377554 abstract "A multimode microcavity sensor based on a self-interference microring resonator is demonstrated experimentally. The proposed multimode sensing method is implemented by recording wideband transmission spectra that consist of multiple resonant modes. It is different from the previous dissipative sensing scheme, which aims at measuring the transmission depth changes of a single resonant mode in a microcavity. Here, by combining the dissipative sensing mechanism and the machine learning algorithm, the multimode sensing information extracted from a broadband spectrum can be efficiently fused to estimate the target parameter. The multimode sensing method is immune to laser frequency noises and robust against system imperfection, thus our work presents a great step towards practical applications of microcavity sensors outside the research laboratory. The voltage applied across the microheater on the chip was adjusted to bring its influence on transmittance through the thermo-optic effects. As a proof-of-principle experiment, the voltage was detected by the multimode sensing approach. The experimental results demonstrate that the limit of detection of the multimode sensing by the general regression neural network is reduced to 6.7% of that of single-mode sensing within a large measuring range." @default.
- W3120377554 created "2021-01-18" @default.
- W3120377554 creator A5004773375 @default.
- W3120377554 creator A5015039354 @default.
- W3120377554 creator A5020246704 @default.
- W3120377554 creator A5046866787 @default.
- W3120377554 creator A5062565725 @default.
- W3120377554 creator A5065844673 @default.
- W3120377554 creator A5068622826 @default.
- W3120377554 creator A5077058548 @default.
- W3120377554 creator A5080733588 @default.
- W3120377554 creator A5081232875 @default.
- W3120377554 date "2021-04-01" @default.
- W3120377554 modified "2023-10-05" @default.
- W3120377554 title "Experimental Demonstration of Multimode Microresonator Sensing by Machine Learning" @default.
- W3120377554 cites W1966331706 @default.
- W3120377554 cites W2004857315 @default.
- W3120377554 cites W2018868953 @default.
- W3120377554 cites W2023997995 @default.
- W3120377554 cites W2038420319 @default.
- W3120377554 cites W2086659261 @default.
- W3120377554 cites W2087199224 @default.
- W3120377554 cites W2114313159 @default.
- W3120377554 cites W2142624305 @default.
- W3120377554 cites W2153113428 @default.
- W3120377554 cites W2155189614 @default.
- W3120377554 cites W2158449659 @default.
- W3120377554 cites W2171459724 @default.
- W3120377554 cites W2287867824 @default.
- W3120377554 cites W2301937402 @default.
- W3120377554 cites W2319321249 @default.
- W3120377554 cites W2570062382 @default.
- W3120377554 cites W2599703671 @default.
- W3120377554 cites W271484748 @default.
- W3120377554 cites W2744151324 @default.
- W3120377554 cites W2757261451 @default.
- W3120377554 cites W2776896525 @default.
- W3120377554 cites W2798288649 @default.
- W3120377554 cites W2808386779 @default.
- W3120377554 cites W2870542808 @default.
- W3120377554 cites W2888156277 @default.
- W3120377554 cites W2891926312 @default.
- W3120377554 cites W2893841825 @default.
- W3120377554 cites W2904950529 @default.
- W3120377554 cites W2908340776 @default.
- W3120377554 cites W2912638278 @default.
- W3120377554 cites W2921808383 @default.
- W3120377554 cites W2945396351 @default.
- W3120377554 cites W2978821666 @default.
- W3120377554 cites W2984975956 @default.
- W3120377554 cites W2990627295 @default.
- W3120377554 cites W2996070020 @default.
- W3120377554 cites W3002618175 @default.
- W3120377554 cites W3004187112 @default.
- W3120377554 cites W3103405487 @default.
- W3120377554 cites W3104505103 @default.
- W3120377554 cites W3109730777 @default.
- W3120377554 cites W3125420627 @default.
- W3120377554 doi "https://doi.org/10.1109/jsen.2020.3049015" @default.
- W3120377554 hasPublicationYear "2021" @default.
- W3120377554 type Work @default.
- W3120377554 sameAs 3120377554 @default.
- W3120377554 citedByCount "10" @default.
- W3120377554 countsByYear W31203775542021 @default.
- W3120377554 countsByYear W31203775542022 @default.
- W3120377554 countsByYear W31203775542023 @default.
- W3120377554 crossrefType "journal-article" @default.
- W3120377554 hasAuthorship W3120377554A5004773375 @default.
- W3120377554 hasAuthorship W3120377554A5015039354 @default.
- W3120377554 hasAuthorship W3120377554A5020246704 @default.
- W3120377554 hasAuthorship W3120377554A5046866787 @default.
- W3120377554 hasAuthorship W3120377554A5062565725 @default.
- W3120377554 hasAuthorship W3120377554A5065844673 @default.
- W3120377554 hasAuthorship W3120377554A5068622826 @default.
- W3120377554 hasAuthorship W3120377554A5077058548 @default.
- W3120377554 hasAuthorship W3120377554A5080733588 @default.
- W3120377554 hasAuthorship W3120377554A5081232875 @default.
- W3120377554 hasBestOaLocation W31203775542 @default.
- W3120377554 hasConcept C101645829 @default.
- W3120377554 hasConcept C120665830 @default.
- W3120377554 hasConcept C121332964 @default.
- W3120377554 hasConcept C127162648 @default.
- W3120377554 hasConcept C127413603 @default.
- W3120377554 hasConcept C136525101 @default.
- W3120377554 hasConcept C142724271 @default.
- W3120377554 hasConcept C194232370 @default.
- W3120377554 hasConcept C204787440 @default.
- W3120377554 hasConcept C24326235 @default.
- W3120377554 hasConcept C2779426163 @default.
- W3120377554 hasConcept C2780202535 @default.
- W3120377554 hasConcept C32022120 @default.
- W3120377554 hasConcept C41008148 @default.
- W3120377554 hasConcept C49040817 @default.
- W3120377554 hasConcept C509933004 @default.
- W3120377554 hasConcept C71924100 @default.
- W3120377554 hasConcept C761482 @default.
- W3120377554 hasConcept C76155785 @default.
- W3120377554 hasConcept C97126364 @default.