📖
Process Variability—Technological Challenge and Design Issue for Nanoscale Devices
Jürgen Lorenz, Eberhard Bär, Sylvain Barraud, Andrew R. Brown, Peter Evanschitzky, Fabian Klüpfel, Liping Wang

Process Variability—Technological Challenge and Design Issue for Nanoscale Devices

Science & Mathematics Published 2019 Verification Pending

Overview & Synopsis

Current advanced transistor architectures, such as FinFETs and (stacked) nanowires and nanosheets, employ truly three-dimensional architectures. Already for aggressively scaled bulk transistors, both statistical and systematic process variations have critically influenced device and circuit performance. Three-dimensional device architectures make the control and optimization of the device geometries even more important, both in view of the nominal electrical performance to be achieved and its variations. In turn, it is essential to accurately simulate the device geometry and its impact on the device properties, including the effect caused by non-idealized processes which are subject to various kinds of systematic variations induced by process equipment. In this paper, the hierarchical simulation system developed in the SUPERAID7 project to study the impact of variations from equipment to circuit level is presented. The software system consists of a combination of existing commercial and newly developed tools. As the paper focuses on technological challenges, especially issues resulting from the structuring processes needed to generate the three-dimensional device architectures are discussed. The feasibility of a full simulation of the impact of relevant systematic and stochastic variations on advanced devices and circuits is demonstrated.

Indexed from repository: HAL Open Science (hal.science)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title Process Variability—Technological Challenge and Design Issue for Nanoscale Devices
Author / Organization Jürgen Lorenz, Eberhard Bär, Sylvain Barraud, Andrew R. Brown, Peter Evanschitzky, Fabian Klüpfel, Liping Wang
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2019
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-185893
Original Source Link Visit Source Page on hal.science »