A Resonant Graphene NEMS Vibrometer
Abstract: Measuring vibrations is essential to ensuring building structural safety and machine stability. Predictive maintenance is a central internet of things (IoT) application within the new industrial revolution, where sustainability and performance increase over time are going to be paramount. To reduce the footprint and cost of vibration sensors while improving their performance, new sensor concepts are needed. Here, double‐layer graphene membranes are utilized with a suspended silicon proof demonstrating their operation as resonant vibration sensors that show outstanding performance for a given footprint and proof mass. The unveiled sensing effect is based on resonant transduction and has important implications for experimental studies involving thin nano and micro mechanical resonators that are excited by an external shaker.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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A Resonant Graphene NEMS Vibrometer ; day:30 ; month:05 ; year:2022 ; extent:7
Small ; (30.05.2022) (gesamt 7)
- Urheber
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Moreno‐Garcia, Daniel
Fan, Xuge
Smith, Anderson D.
Lemme, Max Christian
Messina, Vincenzo
Martin‐Olmos, Cristina
Niklaus, Frank
Villanueva, Luis Guillermo
- DOI
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10.1002/smll.202201816
- URN
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urn:nbn:de:101:1-2022053115062831362626
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:24 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Moreno‐Garcia, Daniel
- Fan, Xuge
- Smith, Anderson D.
- Lemme, Max Christian
- Messina, Vincenzo
- Martin‐Olmos, Cristina
- Niklaus, Frank
- Villanueva, Luis Guillermo
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