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)
![[img]](https://eprints.gla.ac.uk/style/images/fileicons/text.png) |
Text
243934.pdf - Published Version Available under License Creative Commons Attribution. 10MB |
Abstract
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 |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Asenov, Professor Asen and Dutta, Dr Tapas and Medina Bailon, Miss Cristina and Rezaei, Dr Ali and Nagy, Dr Daniel and Georgiev, Professor Vihar and Adamu-Lema, Dr Fikru |
| 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 |
| Publisher: | MDPI |
| ISSN: | 2072-666X |
| 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 |
University Staff: Request a correction | Enlighten Editors: Update this record
Altmetric
Altmetric