Modeling of nanocluster carbon defect states & thin film transistor

N. Ramavenkateswaran, K. Sreelakshmi, Shounak De, B. S. Satyanarayana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Nano cluster carbons in its various forms like carbon nanotubes, fullerene and graphene have become attractive material for a wide range of application. The uniqueness of this, material is its ability to bond in different ways, including sp3, sp2 and sp1 and also exist in mixed phase mode, thus leading to many interesting properties. Nanocluster carbon films with room temperature conductivity changing over 10 orders, from 10-11-1 cm-1) to 3 x 10-1-1 cm-1), defect state density varying from 1016 to 1021 cm-3 eV-1 were studied. The films also show some photo response. The material has been used to fabricate field assisted electron emitters, and to simulate thin film transistor and sensors. The pulsed cathodic arc seems to be a better process for controlled Nanoclusters growth than continuous cathodic arc. The DOS Model for non crystalline materials are simulated and properties are studied. The possibility of growing the material over large areas also enables us to use it for applications like sensors & medical implants on flexible substrates, and tribology.

Original languageEnglish
Title of host publication7th IEEE India International Conference on Power Electronics, IICPE 2016
PublisherIEEE Computer Society
Volume2016-November
ISBN (Electronic)9781509045303
DOIs
Publication statusPublished - 28-06-2016
Event7th IEEE India International Conference on Power Electronics, IICPE 2016 - Patiala, India
Duration: 17-11-201619-11-2016

Conference

Conference7th IEEE India International Conference on Power Electronics, IICPE 2016
Country/TerritoryIndia
CityPatiala
Period17-11-1619-11-16

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Modeling of nanocluster carbon defect states & thin film transistor'. Together they form a unique fingerprint.

Cite this