Deep heterogeneous joint architecture: A temporal frequency surrogate model for fuel performance codes-Reference-Cited by-同舟云学术

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Deep heterogeneous joint architecture: A temporal frequency surrogate model for fuel performance codes

Published:2025-02 Issue: Volume:211 Page:110893
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Zhou Wenhan^ORCID,Robertson Gustav^ORCID,Sjöstrand Henrik

Publisher

Elsevier BV

Reference20 articles.

1. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling;Bai,2018

2. Fast Fourier convolution;Chi,2020

3. Deep ensembles: A loss landscape perspective;Fort,2020

4. TRANSURANUS: a fuel rod analysis code ready for use;Lassmann;J. Nucl. Mater.,1992

5. Modelling of fuel rod behaviour and recent advances of the transuranus code;Lassmann;Nucl. Eng. Des.,1988

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