Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380995783> ?p ?o ?g. }
- W4380995783 endingPage "1101" @default.
- W4380995783 startingPage "1101" @default.
- W4380995783 abstract "The Marangoni effect is a phenomenon of mass transfer between two fluids with different surface tensions, which has been used in many fields. In this paper, we prepared ultrathin conductive films with graphene (GN) and carbon nanotubes (CNTs) based on the Marangoni effect. The Marangoni self-assembled film exhibited excellent properties, showing a conductivity of 8.3 kΩ·sq−1, a transparency of 74% at 550 nm and a thickness of 28 nm when the mass ratio of CNTs and GN was 1:1. The conductive films were transferred to flexible substrates twice and fabricated face to face as strain sensors. The 3M4910-based strain sensors, which were prepared with a simple process and high material utilization rate, exhibited good sensitivity (GF = 5.7), a wide working range (193%) and satisfactory cyclic stability. The PDMS-based GN sensor showed high sensitivity (GF = 34), a wide working range (78%) and excellent stability (ε = 10%, > 8000 cycles). It has been proved that the sensors can be used to detect different joint movements of the human body and subtle movements, showing good application prospects in physiological signal detection." @default.
- W4380995783 created "2023-06-17" @default.
- W4380995783 creator A5020331936 @default.
- W4380995783 creator A5024024443 @default.
- W4380995783 creator A5038056616 @default.
- W4380995783 creator A5038873408 @default.
- W4380995783 creator A5046415067 @default.
- W4380995783 creator A5086943373 @default.
- W4380995783 date "2023-06-15" @default.
- W4380995783 modified "2023-10-18" @default.
- W4380995783 title "A Simple and Efficient Strategy for Preparation of Flexible Strain Sensors Based on Marangoni Effect" @default.
- W4380995783 cites W2045912757 @default.
- W4380995783 cites W2127328544 @default.
- W4380995783 cites W2130835316 @default.
- W4380995783 cites W2196417152 @default.
- W4380995783 cites W2257718500 @default.
- W4380995783 cites W2285847257 @default.
- W4380995783 cites W2297109848 @default.
- W4380995783 cites W2308405896 @default.
- W4380995783 cites W2487466241 @default.
- W4380995783 cites W2507969181 @default.
- W4380995783 cites W2604168466 @default.
- W4380995783 cites W2604295258 @default.
- W4380995783 cites W2618898766 @default.
- W4380995783 cites W2742775539 @default.
- W4380995783 cites W2752433620 @default.
- W4380995783 cites W2762791187 @default.
- W4380995783 cites W2775427136 @default.
- W4380995783 cites W2782785283 @default.
- W4380995783 cites W2788510066 @default.
- W4380995783 cites W2791623446 @default.
- W4380995783 cites W2805403796 @default.
- W4380995783 cites W2806807572 @default.
- W4380995783 cites W2817032991 @default.
- W4380995783 cites W2901286411 @default.
- W4380995783 cites W2902669424 @default.
- W4380995783 cites W2908447032 @default.
- W4380995783 cites W2911699789 @default.
- W4380995783 cites W2914336498 @default.
- W4380995783 cites W2914657787 @default.
- W4380995783 cites W2938505058 @default.
- W4380995783 cites W2944232480 @default.
- W4380995783 cites W2993470950 @default.
- W4380995783 cites W3008664375 @default.
- W4380995783 cites W3009112714 @default.
- W4380995783 cites W3014814161 @default.
- W4380995783 cites W3025452453 @default.
- W4380995783 cites W3121096966 @default.
- W4380995783 cites W3169957618 @default.
- W4380995783 cites W3170937918 @default.
- W4380995783 cites W4210825406 @default.
- W4380995783 cites W4221028180 @default.
- W4380995783 cites W4281754846 @default.
- W4380995783 cites W4285253590 @default.
- W4380995783 cites W4312204049 @default.
- W4380995783 cites W4361276327 @default.
- W4380995783 doi "https://doi.org/10.3390/coatings13061101" @default.
- W4380995783 hasPublicationYear "2023" @default.
- W4380995783 type Work @default.
- W4380995783 citedByCount "0" @default.
- W4380995783 crossrefType "journal-article" @default.
- W4380995783 hasAuthorship W4380995783A5020331936 @default.
- W4380995783 hasAuthorship W4380995783A5024024443 @default.
- W4380995783 hasAuthorship W4380995783A5038056616 @default.
- W4380995783 hasAuthorship W4380995783A5038873408 @default.
- W4380995783 hasAuthorship W4380995783A5046415067 @default.
- W4380995783 hasAuthorship W4380995783A5086943373 @default.
- W4380995783 hasBestOaLocation W43809957831 @default.
- W4380995783 hasConcept C121332964 @default.
- W4380995783 hasConcept C126322002 @default.
- W4380995783 hasConcept C131540310 @default.
- W4380995783 hasConcept C136525101 @default.
- W4380995783 hasConcept C142724271 @default.
- W4380995783 hasConcept C147789679 @default.
- W4380995783 hasConcept C159985019 @default.
- W4380995783 hasConcept C171250308 @default.
- W4380995783 hasConcept C185592680 @default.
- W4380995783 hasConcept C192562407 @default.
- W4380995783 hasConcept C202374169 @default.
- W4380995783 hasConcept C204787440 @default.
- W4380995783 hasConcept C2778022156 @default.
- W4380995783 hasConcept C30080830 @default.
- W4380995783 hasConcept C49040817 @default.
- W4380995783 hasConcept C513720949 @default.
- W4380995783 hasConcept C62520636 @default.
- W4380995783 hasConcept C63219958 @default.
- W4380995783 hasConcept C71924100 @default.
- W4380995783 hasConcept C8892853 @default.
- W4380995783 hasConceptScore W4380995783C121332964 @default.
- W4380995783 hasConceptScore W4380995783C126322002 @default.
- W4380995783 hasConceptScore W4380995783C131540310 @default.
- W4380995783 hasConceptScore W4380995783C136525101 @default.
- W4380995783 hasConceptScore W4380995783C142724271 @default.
- W4380995783 hasConceptScore W4380995783C147789679 @default.
- W4380995783 hasConceptScore W4380995783C159985019 @default.
- W4380995783 hasConceptScore W4380995783C171250308 @default.
- W4380995783 hasConceptScore W4380995783C185592680 @default.
- W4380995783 hasConceptScore W4380995783C192562407 @default.