scholarly journals A discrete-time-evolution model to forecast progress of Covid-19 outbreak

PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0241472 ◽  
Author(s):  
Evaldo M. F. Curado ◽  
Marco R. Curado
1994 ◽  
Vol 572 (1) ◽  
pp. 37-47 ◽  
Author(s):  
A. Lakshminarayan ◽  
N.L. Balazs
Keyword(s):  

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Yasuhisa Omura

This paper proposes a poststress time evolution model for sub-10-nm thick SiO2films for degradation prediction and the extraction of trap-related parameters. The model is based on the understanding that the degradation in thin SiO2films continues within the unstressed interval. The phenomenon is captured by an analytical expression that indicates that the time evolution of SiO2film degradation roughly consists of two stages and that the degradation is more likely to occur if water molecules are present. It is demonstrated that the simple analytical model successfully reproduces measured results. It is also suggested that the degradation process considered here is related to oxygen diffusion in the resistive transition process.


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