Title :
Statistical Characterization and Modeling of the Temporal Evolutions of
Distribution in NBTI Recovery in Nanometer MOSFETs
Author :
Jung-Piao Chiu ; Yu-Heng Liu ; Hung-Da Hsieh ; Chi-Wei Li ; Min-Cheng Chen ; Tahui Wang
Author_Institution :
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
NBTI trapped charge characteristics and recovery mechanisms are examined by a statistical study of individual trapped charge emissions in nanoscale HfSiON/metal gate pMOSFETs. We measure individual trapped charge emission times in NBTI recovery in a large number of devices. The characteristic time distributions of the first three emitted holes are obtained. The distributions can be well modeled by using a thermally-assisted tunnel (ThAT) detrapping model. NBTI trapped charge energy and spatial distributions and its activation energy distribution in the ThAT model are discussed and extracted. Based on the ThAT model and measured result of single-charge induced Vt shifts, we develop a statistical NBTI recovery ΔVt evolution model. Our model can well reproduce the temporal evolutions of a ΔVt distribution in a number of NBTI stressed nanometer MOSFETs in relaxation.
Keywords :
MOSFET; hafnium compounds; nanoelectronics; negative bias temperature instability; semiconductor device models; semiconductor device reliability; silicon compounds; statistical analysis; HfSiON; NBTI recovery mechanisms; NBTI trapped charge characteristics; ThAT detrapping model; activation energy distribution; characteristic time distributions; nanometer MOSFET; nanoscale metal gate pMOSFET; spatial distribution; statistical characterization; temporal evolution modeling; thermally-assisted tunnel detrapping model; three-emitted holes; trapped charge emission time; trapped charge energy distribution; Integrated circuit modeling; Logic gates; MOSFETs; Mathematical model; Monte Carlo methods; Semiconductor device modeling; Temperature measurement; Activation energy; charge emission time; negative bias temperature instability; recovery; statistical model;
Journal_Title :
Electron Devices, IEEE Transactions on
DOI :
10.1109/TED.2013.2240390