Position and mass identification in nanotube mass sensor using neural networks

Habibi, SE; Nematollahi, MA

doi:10.1177/0954406219841075

Cited by 3 publications

(2 citation statements)

References 43 publications

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“…Many figures of merits (FOM) exists to quantify the sensitivity of mass sensors. Two widely used FOM are the magnitude of the frequency shifts (

F_{s}

) and the relative frequency shift (RFS) 87 :

F_{s} = f_{m} - f_{m}^{'}

italicRFS = ((), f_{m} - f_{m}^{'}) / f_{m}^{'}

where

f_{m}

and

f_{m}^{'}

denote the

m^{th}

mode natural frequency of a loaded and an unloaded resonator. Based on Equations (44) and (45), Figures 10 and 11 unveil the frequency shift (in kHz) and the RFS for the four systems, respectively.…”

Section: Resultsmentioning

confidence: 99%

Modeling and analysis of nature‐inspired branched micropillars for enhanced dynamic bio‐sensing

Mustapha

Hawwa

Abakr

2021

Numer Methods Biomed Eng

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Research evidence abounds on the effectiveness of micropillar‐based microelectromechanical systems for the detection of a wide variety of ultrasmall biological objects for clinical and non‐clinical applications. However, the standard micropillar‐based sensing platforms rely on a single‐column micropillar with a spot at the tip for binding of objects. Although this long‐standing form has shown immense potential, performance improvement is hindered by the fundamental limits enforced by physical laws. Moreover, the single‐column micropillar has a lower sensing area and is ill‐suited for a simultaneous differential sensing of chemical/biological objects of different mass. Here, we report a new set of nature‐inspired, branched micropillar‐based sensing resonators to address the highlighted issues. The characteristics of the newly proposed branched micropillars are comprehensively examined with three payloads (Bartonella Bacilliformis, Escherichia coli, and Micro magnetic beads). Anchored on the capability of continuum theoretical framework, the mathematical model of the micropillar is formulated through the synthesis of the modified couple stress, the Rayleigh‐Love, and the Timoshenko theories. The finite element method is employed to shed light on the variability of the structures' resonant response under performance reduction factors (payload's rotary inertia, damaged substrate, and density of a surrounding fluid). The results obtained indicate superior performance indicators for the triply‐branched micropillar: enhanced response sensitivity for multiple payloads and less susceptibility to deterioration in resonant frequencies due to fluid immersion.

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“…Many figures of merits (FOM) exists to quantify the sensitivity of mass sensors. Two widely used FOM are the magnitude of the frequency shifts (

F_{s}

) and the relative frequency shift (RFS) 87 :

F_{s} = f_{m} - f_{m}^{'}

italicRFS = ((), f_{m} - f_{m}^{'}) / f_{m}^{'}

where

f_{m}

and

f_{m}^{'}

denote the

m^{th}

Section: Resultsmentioning

confidence: 99%

Modeling and analysis of nature‐inspired branched micropillars for enhanced dynamic bio‐sensing

Mustapha

Hawwa

Abakr

2021

Numer Methods Biomed Eng

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“…In another work, Bouchaala et al [17] compared micro-CNTs and beam mass sensors and found that the CNT-based sensor was more sensitive than the microbeam sensor. Habibi et al [18] studied the position and mass identification in a single-walled carbon nanotube (SWCNT) mass sensor. Soltani et al [19] investigated the sensitivity of an SWCNT mass sensor resting on an elastic foundation using non-local elasticity theory and proposed the parametric study of elastic foundation parameters.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Sensitivity of Double-Walled Carbon Nanotubes with Longitudinal Magnetic Field

Ahmadi,

Rahimi,

Sumelka

2024

Applied Sciences

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In this study, the behavior of double-walled carbon nanotubes (DWCNTs) used as mass sensors is explored under various boundary conditions; particular attention is paid to the crucial topic of resonant nanomechanical mass sensors. In the presented approach, nanotubes are subjected to a distributed transverse magnetic force and supported by an elastic foundation. The impacts of the longitudinal magnetic field, elastic medium, and diverse physical parameters on the responsiveness of the sensors are assessed. Using the energy method, governing equations are formulated to determine the frequency shifts of the mass nanosensors. Our findings reveal significant variations in the frequency shifts due to a longitudinal magnetic field, which depends on the applied boundary conditions. This research holds significance in the design of resonant nanomechanical mass sensors and provides valuable insights into the interplay of factors affecting their performance. Through exploring the intricate dynamics of DWCNTs used as mass sensors and thus contributing to the broader understanding of nanoscale systems, the implications for advancements in sensor design are offered and applications are introduced.

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Numerical investigation on the thermal-nanofluidic flow induced transverse and longitudinal vibrations of single and multi-walled branched nanotubes resting on nonlinear elastic foundations in a magnetic environment

Yinusa,

Sobamowo,

Adelaja

et al. 2024

Partial Differential Equations in Applied Mathematics

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Position and mass identification in nanotube mass sensor using neural networks

Cited by 3 publications

References 43 publications

Modeling and analysis of nature‐inspired branched micropillars for enhanced dynamic bio‐sensing

Modeling and analysis of nature‐inspired branched micropillars for enhanced dynamic bio‐sensing

Enhancing Sensitivity of Double-Walled Carbon Nanotubes with Longitudinal Magnetic Field

Numerical investigation on the thermal-nanofluidic flow induced transverse and longitudinal vibrations of single and multi-walled branched nanotubes resting on nonlinear elastic foundations in a magnetic environment

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