TY - JOUR
T1 - Evaluation of random process fluctuation and geometry dependence in nanosheet reconfigurable transistor
AU - Wang, Chao
AU - Zhang, Jianing
AU - Liu, Ziyu
AU - Li, Xiaojin
AU - Shi, Yanling
AU - Chen, Shaoqiang
AU - Lu, Fei
AU - Dong, Xinyu
AU - Shen, Yang
AU - Sun, Yabin
N1 - Publisher Copyright:
© 2025
PY - 2025/5
Y1 - 2025/5
N2 - This study presents the first comprehensive evaluation of the impact of random process fluctuations on the electrical characteristics of nanosheet Reconfigurable FETs (NS-RFETs), and the geometry dependence including nanosheet width (WNS) and thickness (TNS) are also investigated. Utilizing MATLAB and 3-D TCAD simulations, this research addresses three key fluctuation sources such as work function variation (WFV), gate edge roughness (GER) and line edge roughness (LER) including line width roughness (LWR) and line height roughness (LHR). It reveals that the variation of ION is the most influenced among all Figures of Merit (FoMs) and is predominantly affected by LWR and WFV at the control gate, due to the unique Schottky barrier tunneling mechanism in RFETs. WFV is the decisive factor for the variation of VTH and SS. Generally, smaller geometry parameter leads to deterioration in the variation of VTH and SS, and ION is influenced more significantly. During the shrinkage of WNS, the impact of LWR becomes more dominant on ION and when TNS decreases, WFV becomes more dominant. And LWR and WFV still deserves special attention as the geometry scales down. The results also indicate that enhancing the uniformity of metal grain of metal gate and reducing the RMS of LWR and LHR can mitigate electric performance fluctuations.
AB - This study presents the first comprehensive evaluation of the impact of random process fluctuations on the electrical characteristics of nanosheet Reconfigurable FETs (NS-RFETs), and the geometry dependence including nanosheet width (WNS) and thickness (TNS) are also investigated. Utilizing MATLAB and 3-D TCAD simulations, this research addresses three key fluctuation sources such as work function variation (WFV), gate edge roughness (GER) and line edge roughness (LER) including line width roughness (LWR) and line height roughness (LHR). It reveals that the variation of ION is the most influenced among all Figures of Merit (FoMs) and is predominantly affected by LWR and WFV at the control gate, due to the unique Schottky barrier tunneling mechanism in RFETs. WFV is the decisive factor for the variation of VTH and SS. Generally, smaller geometry parameter leads to deterioration in the variation of VTH and SS, and ION is influenced more significantly. During the shrinkage of WNS, the impact of LWR becomes more dominant on ION and when TNS decreases, WFV becomes more dominant. And LWR and WFV still deserves special attention as the geometry scales down. The results also indicate that enhancing the uniformity of metal grain of metal gate and reducing the RMS of LWR and LHR can mitigate electric performance fluctuations.
KW - Gate edge roughness (GER)
KW - Geometry dependence
KW - Line edge roughness (LER)
KW - Nanosheet (NS)
KW - Process fluctuation
KW - Reconfigurable field-effect transistor (RFET)
KW - Work-function variation (WFV)
UR - https://www.scopus.com/pages/publications/85218078551
U2 - 10.1016/j.micrna.2025.208097
DO - 10.1016/j.micrna.2025.208097
M3 - 文章
AN - SCOPUS:85218078551
SN - 2773-0131
VL - 201
JO - Micro and Nanostructures
JF - Micro and Nanostructures
M1 - 208097
ER -