Paper
18 March 2015 A compact model to predict pillar-edge-roughness effects on 3D vertical nanowire MOSFETs using the perturbation method
Pu Wang, Chuyang Hong, Qi Cheng, Yijian Chen
Author Affiliations +
Abstract
In this paper, we present a compact model to predict the pillar-edge-roughness (PER) effects on 3D vertical nanowire MOSFETs using the perturbation method. An analytic solution to 3D Poisson’s equation in the cylindrical coordinate with a perturbed boundary is obtained to describe the PER effects on the vertical channel potential. The induced variations of drain current, threshold voltage (Vth), and sub-threshold slope (SS) are calculated using the developed model. We also investigate the PER phase and frequency dependent behavior of the nanowire MOSFETs, and find that both phase and (angular) frequency of the PER function will significantly affect the device performance. Our model calculation results are compared with TCAD simulations and a good agreement between them is found. It is suggested that our metrology society needs to develop relevant measurement methodology to characterize the nanowire pillar-edge roughness at deep nanoscale.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pu Wang, Chuyang Hong, Qi Cheng, and Yijian Chen "A compact model to predict pillar-edge-roughness effects on 3D vertical nanowire MOSFETs using the perturbation method", Proc. SPIE 9427, Design-Process-Technology Co-optimization for Manufacturability IX, 94270W (18 March 2015); https://doi.org/10.1117/12.2085919
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Nanowires

3D modeling

Field effect transistors

TCAD

Instrument modeling

Oxides

Doping

RELATED CONTENT

Scaling effects on deep-submicron vertical MOSFETs
Proceedings of SPIE (January 05 2006)
Modeling of powerful GaAs MESFET
Proceedings of SPIE (April 29 2008)
Entropy uncertainty of multi-dimensional random variable
Proceedings of SPIE (November 10 2008)

Back to Top