  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.
