Epitaxial Structure Simulation Study of In_0.53Ga_0.47As/AlAs Double-Barrier Resonant Tunnelling Diodes

Cimbri, D. , Wang, J. and Wasige, E. (2022) Epitaxial Structure Simulation Study of In_0.53Ga_0.47As/AlAs Double-Barrier Resonant Tunnelling Diodes. In: 2022 Fifth IEEE International Workshop on Mobile Terahertz Systems (IWMTS), Duisburg, Germany, 04-06 Jul 2022, ISBN 9781665482752 (doi: 10.1109/IWMTS54901.2022.9832441)

Abstract

We present an epitaxial structure simulation study of In0.53Ga0.47As/AlAs double-barrier resonant tunnelling diodes (RTD) employing Atlas TCAD quantum transport simulation software developed by SILVACO, which is based on the non-equilibrium Green’s function (NEGF) formalism. We analyse how epitaxial layers design impacts the heterostructure static current density-voltage (JV) characteristic, including barriers, quantum well (QW), and lightly-doped spacers, as well as the employment of a high-bandgap emitter region. Our analysis shows that, while barriers and QW thicknesses have a strong impact on the current operation of the RTD device, accurate asymmetric spacers design can trade-off between the voltage span and relative position of its negative differential resistance (NDR) region, while a high-bandgap alloy at the emitter side lowers the RTD bias point. This work will guide in optimising the RTD epitaxial structure in order to maximise its RF power performance at low-terahertz frequencies (~ 100−300 GHz).

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Wasige, Professor Edward and Wang, Dr Jue and Cimbri, Mr Davide
• Authors: Cimbri, D., Wang, J., and Wasige, E.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISBN: 9781665482752
• Published Online: 21 July 2022
• Copyright Holders: Copyright © 2022 IEEE
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
302077		Doctoral Training Network in Terahertz Technologies for Imaging, Radar and Communication Applications	Edward Wasige	European Commission (EC)	N/A	ENG - Electronics & Nanoscale Engineering