Simulation and modeling of novel electronic device architectures with NESS (Nano-Electronic Simulation Software): a modular nano TCAD simulation framework

Medina-Bailon, C., Dutta, T. , Rezaei, A., Nagy, D. , Adamu-Lema, F., Georgiev, V. P. and Asenov, A. (2021) Simulation and modeling of novel electronic device architectures with NESS (Nano-Electronic Simulation Software): a modular nano TCAD simulation framework. Micromachines, 12(6), 680. (doi: 10.3390/mi12060680)

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The modeling of nano-electronic devices is a cost-effective approach for optimizing the semiconductor device performance and for guiding the fabrication technology. In this paper, we present the capabilities of the new flexible multi-scale nano TCAD simulation software called Nano-Electronic Simulation Software (NESS). NESS is designed to study the charge transport in contemporary and novel ultra-scaled semiconductor devices. In order to simulate the charge transport in such ultra-scaled devices with complex architectures and design, we have developed numerous simulation modules based on various simulation approaches. Currently, NESS contains a drift-diffusion, Kubo–Greenwood, and non-equilibrium Green’s function (NEGF) modules. All modules are numerical solvers which are implemented in the C++ programming language, and all of them are linked and solved self-consistently with the Poisson equation. Here, we have deployed some of those modules to showcase the capabilities of NESS to simulate advanced nano-scale semiconductor devices. The devices simulated in this paper are chosen to represent the current state-of-the-art and future technologies where quantum mechanical effects play an important role. Our examples include ultra-scaled nanowire transistors, tunnel transistors, resonant tunneling diodes, and negative capacitance transistors. Our results show that NESS is a robust, fast, and reliable simulation platform which can accurately predict and describe the underlying physics in novel ultra-scaled electronic devices.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Dutta, Dr Tapas and Nagy, Dr Daniel and Georgiev, Dr Vihar and Rezaei, Dr Ali and Adamu-Lema, Dr Fikru and Asenov, Professor Asen and Medina Bailon, Miss Cristina
Authors: Medina-Bailon, C., Dutta, T., Rezaei, A., Nagy, D., Adamu-Lema, F., Georgiev, V. P., and Asenov, A.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Micromachines
ISSN (Online):2072-666X
Published Online:10 June 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Micromachines 12(6): 680
Publisher Policy:Reproduced under a Creative Commons License

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