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Applying Machine Learning and Neural Networks to Approximate Libraries of Constants in a Few-Group Library of Neutronic Constants to Simulate RBMK-1000

Crossref DOI link: https://doi.org/10.1134/S1063778822080166

Published Online: 2023-03-14

Published Print: 2022-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ivanov, I. E.

Bychkov, S. A.

Grushin, N. A.

Druzhinin, V. E.

Lysov, D. A.

Plekhanov, R. V.

Shchukin, N. V.
License Information

Text and Data Mining valid from 2022-12-01

Version of Record valid from 2022-12-01
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Article History

Received: 27 May 2021

Revised: 2 September 2021

Accepted: 5 October 2021

First Online: 14 March 2023

CONFLICT OF INTEREST

: The authors declare that they have no conflicts of interest.

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