Influence of high e-Mobility Substrates on Performance of n-MOSFETs: A Comparative Analysis

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

Abstract

This research work focusses on studying the effect of high e-mobility substrate on n-MOSFET parameters like output characteristics, transfer characteristics, threshold voltage and transconductance. COMSOL Multiphysics simulation tool is used to design and simulate the model. Si, InP, Ge, GaAs, GaP are used as substrates for designing n-MOSFET. From the output characteristics of n-MOSFET with above-mentioned substrates the drain currents of n-MOSFET increases with change is substrate materials for a given value of gate voltage. GaAs substrate has shown significant improvement in drain current. Furthermore, it can be seen from transfer characteristics that the transconductance of n-MOSFET increases as the substrate changes in the order Si, GaP, GaAs, Ge, and InP, with Si showing 1.25 (μA/V) and InP showing 4.4 (μ A/V) Our results show the potential application of n-MOSFETs with substrates showing higher transconductance in RF circuits and audio amplifiers due to their increased amplification capacities.

Original languageEnglish
Title of host publication2024 3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350391244
DOIs
Publication statusPublished - 2024
Event3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024 - Manipal, India
Duration: 12-12-202414-12-2024

Publication series

Name2024 3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024

Conference

Conference3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024
Country/TerritoryIndia
CityManipal
Period12-12-2414-12-24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Computational Mathematics
  • Instrumentation
  • Electrical and Electronic Engineering

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