scholarly journals Unified Model of Shot Noise in the Tunneling Current in Sub-10 nm MOSFETs

Nanomaterials ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 2759
Author(s):  
Jonghwan Lee

A single unified analytical model is presented to predict the shot noise for both the source-to-drain (SD) and the gate tunneling current in sub-10 nm MOSFETs with ultrathin oxide. Based on the Landauer formula, the model is constructed from the sequential tunneling flows associated with number fluctuations. This approach provides the analytical formulation of the shot noise as a function of the applied voltages. The model performs well in predicting the Fano factor for shot noise in the SD and gate tunneling currents.

Electronics ◽  
2021 ◽  
Vol 10 (18) ◽  
pp. 2219
Author(s):  
Jonghwan Lee

A physics-informed neural network (PINN) model is presented to predict the nonlinear characteristics of high frequency (HF) noise performance in quasi-ballistic MOSFETs. The PINN model is formulated by combining the radial basis function-artificial neural networks (RBF-ANNs) with an improved noise equivalent circuit model, including all the noise sources. The RBF-ANNs are utilized to model the thermal channel noise, induced gate noise, correlation noise, as well as the shot noise, due to the gate and source-drain tunneling current through the potential barriers. By training a spatial distribution of the thermal channel noise and a Fano factor of the shot noise, underlying physical theories are naturally embedded into the PINN model as prior information. The PINN model shows good capability of predicting the noise performance at high frequencies.


2012 ◽  
Vol 46 (3) ◽  
pp. 386-390 ◽  
Author(s):  
Iman Abaspur Kazerouni ◽  
Seyed Ebrahim Hosseini

2003 ◽  
Vol 50 (12) ◽  
pp. 2579-2581 ◽  
Author(s):  
Chang-Hoon Choi ◽  
Zhiping Yu ◽  
R.W. Dutton

1999 ◽  
Vol 46 (1-4) ◽  
pp. 365-368 ◽  
Author(s):  
Gregg M. Gallatin ◽  
J. Alexander Liddle

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