Detail publikace

Numerical Model of a Nanoelectric Line from a Graphene Component

FIALA, P. NEŠPOR, D. DREXLER, P. STEINBAUER, M.

Originální název

Numerical Model of a Nanoelectric Line from a Graphene Component

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

The paper discusses the numerical model and provides the analysis of a graphene coaxial line suitable for sub-micron sensors and other applications utilized especially in biomedicine. In the wider perspective, the areas and disciplines targeted by the presented concept include biology, medicine, prosthetics, and microscopic solutions for modern actuators or SMART elements. The proposed hybrid numerical model is based on analyzing a periodic structure with high repeatability, and it exploits the conception of a graphene polymer having its basic dimension in nanometers. The model simulates both the transient analysis and the actual random motion of an electric charge in the structure as the source of spurious signals, and it also considers the harmonic signal propagation along the structure; moreover, the model examines whether and how the signal will be distorted at the beginning of the modeled electric line, given the various termination versions. The results of the analysis are necessary for further use of the designed sensing devices based on graphene structures.

Klíčová slova

Nanomaterials; graphene; signal sensing; signal transmission; signal/noise; useful signal; large model; large periodic structure, hydrogen bond.

Autoři

FIALA, P.; NEŠPOR, D.; DREXLER, P.; STEINBAUER, M.

Vydáno

12. 1. 2016

Nakladatel

Springer-Verlag Berlin Heidelberg

ISSN

0946-7076

Periodikum

Microsystem Technologies

Ročník

2016

Číslo

22

Stát

Spolková republika Německo

Strany od

2765

Strany do

2782

Strany počet

18

BibTex

@article{BUT119510,
  author="Pavel {Fiala} and Dušan {Nešpor} and Petr {Drexler} and Miloslav {Steinbauer}",
  title="Numerical Model of a Nanoelectric Line from a Graphene Component",
  journal="Microsystem Technologies",
  year="2016",
  volume="2016",
  number="22",
  pages="2765--2782",
  doi="10.1007/s00542-015-2772-4",
  issn="0946-7076"
}