Compact Device Models for FinFET and Beyond

Darsen D. Lu; Mohan V. Dunga; Ali M. Niknejad; Chenming Hu; Fu-Xiang Liang; Wei-Chen Hung; Jia-Wei Lee; Chun-Hsiang Hsu; Meng-Hsueh Chiang

arXiv · 2005.02580

Compact Device Models for FinFET and Beyond

Darsen D. Lu·Mohan V. Dunga·Ali M. Niknejad·Chenming Hu·Fu-Xiang Liang·Wei-Chen Hung·Jia-Wei Lee·Chun-Hsiang Hsu·Meng-Hsueh Chiang

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Abstract

Compact device models play a significant role in connecting device technology and circuit design. BSIM-CMG and BSIM-IMG are industry standard compact models suited for the FinFET and UTBB technologies, respectively. Its surface potential based modeling framework and symmetry preserving properties make them suitable for both analog/RF and digital design. In the era of artificial intelligence / deep learning, compact models further enhanced our ability to explore RRAM and other NVM-based neuromorphic circuits. We have demonstrated simulation of RRAM neuromorphic circuits with Verilog-A based compact model at NCKU. Further abstraction with macromodels is performed to enable larger scale machine learning simulation.

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Darsen D. Lu, Mohan V. Dunga, Ali M. Niknejad, Chenming Hu, Fu-Xiang Liang, Wei-Chen Hung, Jia-Wei Lee, Chun-Hsiang Hsu, Meng-Hsueh Chiang. 2020-05-06. Compact Device Models for FinFET and Beyond. https://arxiv.org/abs/2005.02580

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