TitleAn Analytic Surface-Field-Based Quasi-Atomistic Model for Nanowire MOSFETs With Random Dopant Fluctuations
AuthorsHong, Chuyang
Cheng, Qi
Wang, Pu
Meng, Wei
Yang, Libo
Kuo, James B.
Chen, Yijian
AffiliationPeking Univ, Shenzhen Grad Sch, Sch Elect & Comp Engn, Shenzhen 518055, Peoples R China.
Natl Taiwan Univ, Dept Elect Engn, Taipei 10617, Taiwan.
KeywordsDirac delta function
discrete Poisson's equation
random dopant fluctuations (RDFs)
surface-field-based model
TRANSISTORS
SIMULATION
CMOS
Issue Date2015
PublisherIEEE TRANSACTIONS ON ELECTRON DEVICES
CitationIEEE TRANSACTIONS ON ELECTRON DEVICES.2015,62,(12),4173-4179.
AbstractFor the first time, an analytic surface-field-based model for nanowire MOSFETs with random dopant fluctuations (RDF) is reported. In this model, the depletion charge due to the discrete dopant distribution is described by the Dirac delta functions, while the mobile charge keeps its continuous form. By introducing two new variables, the discrete 1-D Poisson's equation is transformed into a simple algebraic equation to correlate the surface potential with the field (due to the inversion charge). Without solving the potential distribution, the drain current can be calculated from the Pao-Sah integral using the oxide-interface boundary condition. This model is shown to be more accurate in predicting the RDF effects than the continuous TCAD simulations for all the operating regions. We also discuss the RDF-incorporated short-channel effects by solving the discrete 2-D Poisson's equation in the subthreshold regime.
URIhttp://hdl.handle.net/20.500.11897/435674
ISSN0018-9383
DOI10.1109/TED.2015.2484838
IndexedSCI(E)
EI
Appears in Collections:信息工程学院

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