Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210287903> ?p ?o ?g. }
- W4210287903 endingPage "107001" @default.
- W4210287903 startingPage "107001" @default.
- W4210287903 abstract "Outstanding features of the human retina are its concave hemispherical geometry, high-sensitive image acquisition, and neuromorphic visual processing, which not only simplifies the optical complexity for the eye but also enhances imaging quality for the visual perception. However, the development of a high-performance bioinspired imaging system with these features is extremely challenging because of the restriction of its composing materials, device structures, and conventional imaging modules. Here, we present a novel hemispherical high-sensitive neuromorphic imaging system that leverages a natural acidic polyelectrolyte as dielectric layer in the photoelectric synaptic transistors. The devices have an extraordinary photosensitivity (~104) under a dim light condition (56 μW/cm2) and the light-tunable neuromorphic characteristics, as well as a substrate-free and ultrathin (~475 nm) structure. These advantages enable our system to perform high-quality imaging like the human retina and highly simulate various functions of the human visual system, such as image enhancement and erasure, and visual preprocessing." @default.
- W4210287903 created "2022-02-08" @default.
- W4210287903 creator A5005171414 @default.
- W4210287903 creator A5012207989 @default.
- W4210287903 creator A5013779064 @default.
- W4210287903 creator A5029215411 @default.
- W4210287903 creator A5049320370 @default.
- W4210287903 creator A5051117334 @default.
- W4210287903 creator A5054127205 @default.
- W4210287903 creator A5059977447 @default.
- W4210287903 creator A5074147603 @default.
- W4210287903 creator A5074734978 @default.
- W4210287903 creator A5076628299 @default.
- W4210287903 date "2022-05-01" @default.
- W4210287903 modified "2023-10-06" @default.
- W4210287903 title "Natural polyelectrolyte-based ultraflexible photoelectric synaptic transistors for hemispherical high-sensitive neuromorphic imaging system" @default.
- W4210287903 cites W1642540027 @default.
- W4210287903 cites W1696825759 @default.
- W4210287903 cites W1979254829 @default.
- W4210287903 cites W2007465137 @default.
- W4210287903 cites W2013054374 @default.
- W4210287903 cites W2015206113 @default.
- W4210287903 cites W2037908367 @default.
- W4210287903 cites W2041583367 @default.
- W4210287903 cites W2088984955 @default.
- W4210287903 cites W2105759630 @default.
- W4210287903 cites W2120238402 @default.
- W4210287903 cites W2590692683 @default.
- W4210287903 cites W2597612771 @default.
- W4210287903 cites W2618698105 @default.
- W4210287903 cites W2618995885 @default.
- W4210287903 cites W2624136171 @default.
- W4210287903 cites W2769688117 @default.
- W4210287903 cites W2770520638 @default.
- W4210287903 cites W2802755967 @default.
- W4210287903 cites W2807364264 @default.
- W4210287903 cites W2891007589 @default.
- W4210287903 cites W2949279952 @default.
- W4210287903 cites W2957921024 @default.
- W4210287903 cites W2963995352 @default.
- W4210287903 cites W2964341090 @default.
- W4210287903 cites W2968992554 @default.
- W4210287903 cites W2971333781 @default.
- W4210287903 cites W2974950465 @default.
- W4210287903 cites W2977152202 @default.
- W4210287903 cites W2985832844 @default.
- W4210287903 cites W2992438367 @default.
- W4210287903 cites W2994621057 @default.
- W4210287903 cites W2995697923 @default.
- W4210287903 cites W3006539420 @default.
- W4210287903 cites W3011085743 @default.
- W4210287903 cites W3027065653 @default.
- W4210287903 cites W3030270606 @default.
- W4210287903 cites W3034221999 @default.
- W4210287903 cites W3036885590 @default.
- W4210287903 cites W3039293246 @default.
- W4210287903 cites W3081188678 @default.
- W4210287903 cites W3104845945 @default.
- W4210287903 cites W3110294643 @default.
- W4210287903 cites W3116458414 @default.
- W4210287903 cites W3127020666 @default.
- W4210287903 cites W3131664866 @default.
- W4210287903 cites W3131775358 @default.
- W4210287903 cites W3138947164 @default.
- W4210287903 cites W3158273863 @default.
- W4210287903 cites W3158465835 @default.
- W4210287903 cites W3174385126 @default.
- W4210287903 cites W3183187302 @default.
- W4210287903 cites W3202305916 @default.
- W4210287903 doi "https://doi.org/10.1016/j.nanoen.2022.107001" @default.
- W4210287903 hasPublicationYear "2022" @default.
- W4210287903 type Work @default.
- W4210287903 citedByCount "14" @default.
- W4210287903 countsByYear W42102879032022 @default.
- W4210287903 countsByYear W42102879032023 @default.
- W4210287903 crossrefType "journal-article" @default.
- W4210287903 hasAuthorship W4210287903A5005171414 @default.
- W4210287903 hasAuthorship W4210287903A5012207989 @default.
- W4210287903 hasAuthorship W4210287903A5013779064 @default.
- W4210287903 hasAuthorship W4210287903A5029215411 @default.
- W4210287903 hasAuthorship W4210287903A5049320370 @default.
- W4210287903 hasAuthorship W4210287903A5051117334 @default.
- W4210287903 hasAuthorship W4210287903A5054127205 @default.
- W4210287903 hasAuthorship W4210287903A5059977447 @default.
- W4210287903 hasAuthorship W4210287903A5074147603 @default.
- W4210287903 hasAuthorship W4210287903A5074734978 @default.
- W4210287903 hasAuthorship W4210287903A5076628299 @default.
- W4210287903 hasConcept C151927369 @default.
- W4210287903 hasConcept C154945302 @default.
- W4210287903 hasConcept C192562407 @default.
- W4210287903 hasConcept C41008148 @default.
- W4210287903 hasConcept C49040817 @default.
- W4210287903 hasConcept C50644808 @default.
- W4210287903 hasConceptScore W4210287903C151927369 @default.
- W4210287903 hasConceptScore W4210287903C154945302 @default.
- W4210287903 hasConceptScore W4210287903C192562407 @default.
- W4210287903 hasConceptScore W4210287903C41008148 @default.
- W4210287903 hasConceptScore W4210287903C49040817 @default.