Dynamic heterogeneity flow promotes binding reactions in a dense system of hard annular sector particles

2021 ◽  
Vol 23 (5) ◽  
pp. 3581-3587
Author(s):  
Yana Duan ◽  
Zhanglin Hou ◽  
Yiwu Zong ◽  
Fangfu Ye ◽  
Kun Zhao

Dynamic heterogeneity is observed in a dense ASP system and is demonstrated to be spatially correlated with binding reactions.

2001 ◽  
Vol 6 (2) ◽  
pp. 15-28 ◽  
Author(s):  
K. Dučinskas ◽  
J. Šaltytė

The problem of classification of the realisation of the stationary univariate Gaussian random field into one of two populations with different means and different factorised covariance matrices is considered. In such a case optimal classification rule in the sense of minimum probability of misclassification is associated with non-linear (quadratic) discriminant function. Unknown means and the covariance matrices of the feature vector components are estimated from spatially correlated training samples using the maximum likelihood approach and assuming spatial correlations to be known. Explicit formula of Bayes error rate and the first-order asymptotic expansion of the expected error rate associated with quadratic plug-in discriminant function are presented. A set of numerical calculations for the spherical spatial correlation function is performed and two different spatial sampling designs are compared.


2014 ◽  
Vol 73 (6) ◽  
pp. 511-527 ◽  
Author(s):  
V.V. Abramova ◽  
S. K. Abramov ◽  
V. V. Lukin ◽  
A. A. Roenko ◽  
Benoit Vozel

2020 ◽  
Vol 4 (11) ◽  
Author(s):  
Nicola Poccia ◽  
Shu Yang Frank Zhao ◽  
Hyobin Yoo ◽  
Xiaojing Huang ◽  
Hanfei Yan ◽  
...  

Author(s):  
Guillem Femenias ◽  
Felip Riera-Palou ◽  
Alberto Alvarez-Polegre ◽  
Ana Garcia-Armada

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