scholarly journals Kinetic Monte Carlo Algorithms for Nuclear Materials Applications

Author(s):  
J. P. Balbuena ◽  
Maria J. Caturla ◽  
E. Martinez
2020 ◽  
pp. 2193-2214
Author(s):  
J. P. Balbuena ◽  
María José Caturla ◽  
Enrique Martínez

2020 ◽  
Vol 59 (41) ◽  
pp. 18357-18386 ◽  
Author(s):  
Alessandro D. Trigilio ◽  
Yoshi W. Marien ◽  
Paul H. M. Van Steenberge ◽  
Dagmar R. D’hooge

2021 ◽  
Vol 127 (15) ◽  
Author(s):  
Juliane U. Klamser ◽  
Olivier Dauchot ◽  
Julien Tailleur

2012 ◽  
Vol 231 (23) ◽  
pp. 7795-7814 ◽  
Author(s):  
Giorgos Arampatzis ◽  
Markos A. Katsoulakis ◽  
Petr Plecháč ◽  
Michela Taufer ◽  
Lifan Xu

2004 ◽  
Vol 160 (2) ◽  
pp. 140-157 ◽  
Author(s):  
D.R. Mason ◽  
R.E. Rudd ◽  
A.P. Sutton

1988 ◽  
Vol 102 ◽  
pp. 79-81
Author(s):  
A. Goldberg ◽  
S.D. Bloom

AbstractClosed expressions for the first, second, and (in some cases) the third moment of atomic transition arrays now exist. Recently a method has been developed for getting to very high moments (up to the 12th and beyond) in cases where a “collective” state-vector (i.e. a state-vector containing the entire electric dipole strength) can be created from each eigenstate in the parent configuration. Both of these approaches give exact results. Herein we describe astatistical(or Monte Carlo) approach which requires onlyonerepresentative state-vector |RV> for the entire parent manifold to get estimates of transition moments of high order. The representation is achieved through the random amplitudes associated with each basis vector making up |RV>. This also gives rise to the dispersion characterizing the method, which has been applied to a system (in the M shell) with≈250,000 lines where we have calculated up to the 5th moment. It turns out that the dispersion in the moments decreases with the size of the manifold, making its application to very big systems statistically advantageous. A discussion of the method and these dispersion characteristics will be presented.


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