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Matematicheskoe modelirovanie, 2022, Volume 34, Number 3, Pages 117–130
DOI: https://doi.org/10.20948/mm-2022-03-07
(Mi mm4363)
 

On modeling sources of radiation-induced effects in heterogeneous materials

V. A. Soboleva, M. E. Zhukovskiy

Keldysh Institute of Applied Mathematics of RAS
References:
Abstract: An approach to the calculation of initial data for computing the radiation-induced secondary effects in a heterogeneous environment is considered. A method for solving the problem of integration "according to data" of the results of modeling cascade processes of radiation transport and the processes of generation of secondary radiation-induced effects is proposed. The method is based on a multidimensional approximation of the results of statistical modeling of the interaction of radiation with matter on a difference grid designed for numerical solution of the equations of electro- and thermodynamics. The approximation is built using neural network technology. The geometric model of a heterogeneous medium is based on Stilinger-Lubachevsky algorithms for multimodal structures. The results of demonstration calculations are presented.
Keywords: radiation transfer, multidimensional approximation, radiation-induced effects, neural networks.
Received: 16.11.2021
Revised: 16.11.2021
Accepted: 17.01.2022
English version:
Mathematical Models and Computer Simulations, 2022, Volume 14, Issue 5, Pages 829–836
DOI: https://doi.org/10.1134/S2070048222050143
Document Type: Article
Language: Russian
Citation: V. A. Soboleva, M. E. Zhukovskiy, “On modeling sources of radiation-induced effects in heterogeneous materials”, Matem. Mod., 34:3 (2022), 117–130; Math. Models Comput. Simul., 14:5 (2022), 829–836
Citation in format AMSBIB
\Bibitem{SobZhu22}
\by V.~A.~Soboleva, M.~E.~Zhukovskiy
\paper On modeling sources of radiation-induced effects in heterogeneous materials
\jour Matem. Mod.
\yr 2022
\vol 34
\issue 3
\pages 117--130
\mathnet{http://mi.mathnet.ru/mm4363}
\crossref{https://doi.org/10.20948/mm-2022-03-07}
\transl
\jour Math. Models Comput. Simul.
\yr 2022
\vol 14
\issue 5
\pages 829--836
\crossref{https://doi.org/10.1134/S2070048222050143}
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