Publication detail

Numerical Model of a Nanoelectric Line from a Graphene Component

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

Original Title

Numerical Model of a Nanoelectric Line from a Graphene Component

English Title

Numerical Model of a Nanoelectric Line from a Graphene Component

Type

journal article in Web of Science

Language

en

Original Abstract

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.

English abstract

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.

Keywords

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

Released

12.01.2016

Publisher

Springer-Verlag Berlin Heidelberg

ISBN

0946-7076

Periodical

Microsystem Technologies

Year of study

2016

Number

22

State

DE

Pages from

2765

Pages to

2782

Pages count

18

Documents

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",
  annote="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.",
  address="Springer-Verlag Berlin Heidelberg",
  chapter="119510",
  doi="10.1007/s00542-015-2772-4",
  howpublished="online",
  institution="Springer-Verlag Berlin Heidelberg",
  number="22",
  volume="2016",
  year="2016",
  month="january",
  pages="2765--2782",
  publisher="Springer-Verlag Berlin Heidelberg",
  type="journal article in Web of Science"
}