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TCAD‐based statistical modeling methodology for nanoscale FinFET variability
Author(s) -
Guo Ao,
Shang Enming,
Hu Shaojian,
Chen Shoumian
Publication year - 2021
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.32217
Subject(s) - spice , electronic engineering , technology cad , static random access memory , cmos , statistical model , monte carlo method , computer science , set (abstract data type) , engineering , cad , mathematics , engineering drawing , artificial intelligence , statistics , programming language
We demonstrated in this article a TCAD‐based (TCAD is defined as Technology Computer Aided Design) statistical modeling methodology for FinFET devices, which included TCAD Monte Carlo simulation, SPICE model library buildup, and model verification in circuit level. As a demonstrative example, a set of 14 nm FinFET devices are investigated for TCAD variability simulation and statistical model development. The stability and variability of different SRAM cells are further evaluated to verify the applicability of proposed statistical modeling methodology. The demonstrative statistical modeling method in this article is fully compatible with industrial standard methodology of CMOS device model, which can be easily immigrated into advanced technologies.