Paper
21 May 2015 Numerical model a graphene component for the sensing of weak electromagnetic signals
A. Nasswettrova, P. Fiala, D. Nešpor, P. Drexler, M. Steinbauer
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Abstract
The paper discusses a numerical model and provides an analysis of a graphene coaxial line suitable for sub-micron sensors of magnetic fields. In relation to the presented concept, the target areas and disciplines include biology, medicine, prosthetics, and microscopic solutions for modern actuators or SMART elements. The proposed numerical model is based on an analysis of a periodic structure with high repeatability, and it exploits a graphene polymer having a basic dimension in nanometers. The model simulates the actual random motion in the structure as the source of spurious signals and considers the pulse propagation along the structure; furthermore, the model also examines whether and how the pulse will be distorted at the beginning of the line, given the various ending versions. The results of the analysis are necessary for further use of the designed sensing devices based on graphene structures.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Nasswettrova, P. Fiala, D. Nešpor, P. Drexler, and M. Steinbauer "Numerical model a graphene component for the sensing of weak electromagnetic signals", Proc. SPIE 9517, Smart Sensors, Actuators, and MEMS VII; and Cyber Physical Systems, 95171K (21 May 2015); https://doi.org/10.1117/12.2177797
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Graphene

Electromagnetism

Magnetism

Polymers

Motion models

Particles

Carbon

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