C. S. Soares, G. F. Furtado, A. C. J. Rossetto, G. I. Wirth, D. Vasileska
{"title":"n-FinFET 的三维量子校正蒙特卡洛器件模拟器","authors":"C. S. Soares, G. F. Furtado, A. C. J. Rossetto, G. I. Wirth, D. Vasileska","doi":"10.1007/s10825-024-02145-w","DOIUrl":null,"url":null,"abstract":"<div><p>The effective potential approach was successfully incorporated as a quantum correction to a Monte Carlo device simulator of <i>n</i>-FinFETs to take into account the electron quantum confinement. The electron line density calculated by the effective potential approach agrees very well with the one calculated by a 2D Schrödinger–Poisson solver. Next, the results for the drain current as a function of the gate and drain voltage obtained by the semiclassical and by the quantum-corrected Monte Carlo device simulator were compared. The quantum-corrected Monte Carlo device simulator properly models volume inversion, which reduces the impact of surface roughness scattering, thus improving the electron drift velocity. Additionally, the quantum correction allows the modeling of the reduction of electron density in the <i>n</i>-FinFETs channel due to the quantum-mechanical size quantization effect. This, in turn, leads to a reduction of the drain current.</p></div>","PeriodicalId":620,"journal":{"name":"Journal of Computational Electronics","volume":"23 2","pages":"257 - 266"},"PeriodicalIF":2.2000,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Three-dimensional quantum-corrected Monte Carlo device simulator of n-FinFETs\",\"authors\":\"C. S. Soares, G. F. Furtado, A. C. J. Rossetto, G. I. Wirth, D. Vasileska\",\"doi\":\"10.1007/s10825-024-02145-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The effective potential approach was successfully incorporated as a quantum correction to a Monte Carlo device simulator of <i>n</i>-FinFETs to take into account the electron quantum confinement. The electron line density calculated by the effective potential approach agrees very well with the one calculated by a 2D Schrödinger–Poisson solver. Next, the results for the drain current as a function of the gate and drain voltage obtained by the semiclassical and by the quantum-corrected Monte Carlo device simulator were compared. The quantum-corrected Monte Carlo device simulator properly models volume inversion, which reduces the impact of surface roughness scattering, thus improving the electron drift velocity. Additionally, the quantum correction allows the modeling of the reduction of electron density in the <i>n</i>-FinFETs channel due to the quantum-mechanical size quantization effect. This, in turn, leads to a reduction of the drain current.</p></div>\",\"PeriodicalId\":620,\"journal\":{\"name\":\"Journal of Computational Electronics\",\"volume\":\"23 2\",\"pages\":\"257 - 266\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-03-11\",\"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/s10825-024-02145-w\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Electronics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10825-024-02145-w","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}
Three-dimensional quantum-corrected Monte Carlo device simulator of n-FinFETs
The effective potential approach was successfully incorporated as a quantum correction to a Monte Carlo device simulator of n-FinFETs to take into account the electron quantum confinement. The electron line density calculated by the effective potential approach agrees very well with the one calculated by a 2D Schrödinger–Poisson solver. Next, the results for the drain current as a function of the gate and drain voltage obtained by the semiclassical and by the quantum-corrected Monte Carlo device simulator were compared. The quantum-corrected Monte Carlo device simulator properly models volume inversion, which reduces the impact of surface roughness scattering, thus improving the electron drift velocity. Additionally, the quantum correction allows the modeling of the reduction of electron density in the n-FinFETs channel due to the quantum-mechanical size quantization effect. This, in turn, leads to a reduction of the drain current.
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.