scholarly journals Computational Model on COVID-19 Pandemic Using Probabilistic Cellular Automata

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Sayantari Ghosh ◽  
Saumik Bhattacharya
2014 ◽  
Vol 559 ◽  
pp. 42-72 ◽  
Author(s):  
Jean Mairesse ◽  
Irène Marcovici

2018 ◽  
Vol 174 (3-4) ◽  
pp. 1187-1217 ◽  
Author(s):  
Alexander E. Holroyd ◽  
Irène Marcovici ◽  
James B. Martin

Fractals ◽  
1996 ◽  
Vol 04 (04) ◽  
pp. 509-520 ◽  
Author(s):  
HUGH McEVOY ◽  
JAAP A. KAANDORP

We demonstrate the usefulness of multiset transformation for modeling growth processes which combine generational growth with environmental-sensitivity (such as photo-sensitivity and geometric constraints). Our examples are artificial structures with no immediate counterpart in physics and biology. However, our studies are intended to show the feasibility of multiset transformation for more realistic models. We show that multiset transformation is useful both as a formal and a computational model of growth processes.


2011 ◽  
Vol 702-703 ◽  
pp. 615-618
Author(s):  
Dong Kyu Kim ◽  
K.H. Jung ◽  
H.W. Lee ◽  
Yong Taek Im

A two dimensional probabilistic cellular automata model is used to simulate primary static recrystallization of interstitial free (IF) steel. The present study is to investigate the effect of curvature-driven pressure that is induced by protrusions/retrusions of recrystallization fronts on the microstructural and textural evolution during recrystallization. It was found that local interface migration of protrusions/retrusions of recrystallization fronts could significantly affect the kinetics, grain morphology and annealing texture according to the present investigation.


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