{"title":"A simple approach for integrating quantum confinement effects into TCAD simulations of tunnel field-effect transistors","authors":"Bui Huu Thai, Chun-Hsing Shih, Nguyen Dang Chien","doi":"10.1007/s10825-024-02253-7","DOIUrl":null,"url":null,"abstract":"<div><p>Quantum confinement effects (QCEs) are significant in tunnel field-effect transistors (TFETs) since their operation is based on the mechanism of band-to-band tunneling. This study presents a simple approach for integrating QCEs into the semiclassical TCAD simulations of TFETs. The approach was based on a post-processing computation in which 1D Schrodinger equations were first solved manually, then their solutions were used to modify the conduction and valence band profiles in the 2D TCAD simulations. For each bias condition, only a 1D potential profile at the position of the maximum tunneling generation was adopted to describe the QC through the solutions of Schrodinger equations for electrons and holes. The quantum-simulated results based on this simple method show good agreements with both quantum–mechanical simulations based on a sophisticated approach and experimental data. The analyses also show that the van Dort quantum model available in commercial TCAD simulators is not appropriate for describing QCEs in TFETs. The approach can be practically employed in studying the influences of QCEs on the electrical characteristics, in particular the dependence of QCEs on the body thickness of TFET devices.</p></div>","PeriodicalId":620,"journal":{"name":"Journal of Computational Electronics","volume":"24 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Electronics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10825-024-02253-7","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Quantum confinement effects (QCEs) are significant in tunnel field-effect transistors (TFETs) since their operation is based on the mechanism of band-to-band tunneling. This study presents a simple approach for integrating QCEs into the semiclassical TCAD simulations of TFETs. The approach was based on a post-processing computation in which 1D Schrodinger equations were first solved manually, then their solutions were used to modify the conduction and valence band profiles in the 2D TCAD simulations. For each bias condition, only a 1D potential profile at the position of the maximum tunneling generation was adopted to describe the QC through the solutions of Schrodinger equations for electrons and holes. The quantum-simulated results based on this simple method show good agreements with both quantum–mechanical simulations based on a sophisticated approach and experimental data. The analyses also show that the van Dort quantum model available in commercial TCAD simulators is not appropriate for describing QCEs in TFETs. The approach can be practically employed in studying the influences of QCEs on the electrical characteristics, in particular the dependence of QCEs on the body thickness of TFET devices.
期刊介绍:
he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered.
In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.