Comparison of statistical distributions of random telegraph noise (RTN) in subthreshold region and strong inversion region

Author(s):  
Hitoshi Ohno ◽  
Tomoko Mizutani ◽  
Takuya Saraya ◽  
Toshiro Hiramoto
2020 ◽  
Vol 10 (15) ◽  
pp. 5327
Author(s):  
Atabek E. Atamuratov ◽  
Mahkam M. Khalilloev ◽  
Ahmed Yusupov ◽  
A. J. García-Loureiro ◽  
Jean Chamberlain Chedjou ◽  
...  

In this paper, different physical models of single trap defects are considered, which are localized in the oxide layer or at the oxide–semiconductor interface of field effect transistors. The influence of these defects with different sizes and shapes on the amplitude of the random telegraph noise (RTN) in Junctionless Fin Field Effect Transistor (FinFET) is modelled and simulated. The RTN amplitude dependence on the number of single charges trapped in a single defect is modelled and simulated too. It is found out that the RTN amplitude in the Junctionless FinFET does not depend on the shape, nor on the size of the single defect area. However, the RTN amplitude in the subthreshold region does considerably depend on the number of single charges trapped in the defect.


2019 ◽  
Vol 40 (5) ◽  
pp. 674-677 ◽  
Author(s):  
Xuepeng Zhan ◽  
Chengda Shen ◽  
Zhigang Ji ◽  
Jiezhi Chen ◽  
Hui Fang ◽  
...  

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1517
Author(s):  
Xinsheng Wang ◽  
Xiyue Wang

True random number generators (TRNGs) have been a research hotspot due to secure encryption algorithm requirements. Therefore, such circuits are necessary building blocks in state-of-the-art security controllers. In this paper, a TRNG based on random telegraph noise (RTN) with a controllable rate is proposed. A novel method of noise array circuits is presented, which consists of digital decoder circuits and RTN noise circuits. The frequency of generating random numbers is controlled by the speed of selecting different gating signals. The results of simulation show that the array circuits consist of 64 noise source circuits that can generate random numbers by a frequency from 1 kHz to 16 kHz.


2021 ◽  
Vol 103 (13) ◽  
Author(s):  
Robert Sponsel ◽  
Aaron Hamann ◽  
E. Dan Dahlberg

Author(s):  
A. Ghetti ◽  
C. Monzio Compagnoni ◽  
F. Biancardi ◽  
A. L. Lacaita ◽  
S. Beltrami ◽  
...  

2013 ◽  
Vol 52 (4S) ◽  
pp. 04CA07 ◽  
Author(s):  
Bong-Su Jo ◽  
Ho-Jung Kang ◽  
Sung-Min Joe ◽  
Min-Kyu Jeong ◽  
Kyung-Rok Han ◽  
...  

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