Position and mass identification in nanotube mass sensor using neural networks

Carbon nanotube-based nanosensors have shown many promising potential applications in exploring the nano-world. To benefit the maximum capabilities of the nano mass sensor, it must be able to measure both of the augmented mass and its trapping position. Here, this requirement is fulfilled by employi...

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Veröffentlicht in:	Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science Journal of mechanical engineering science, 2019-08, Vol.233 (15), p.5377-5387
Hauptverfasser:	Habibi, SE, Nematollahi, MA
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer simulation Molecular dynamics Neural networks Position measurement Position sensing Resonant frequencies Sensors Single wall carbon nanotubes Trapping Vibration mode
Online-Zugang:	Volltext
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