Modeling fission gas release at the mesoscale using multiscale DenseNet regression with attention mechanism and inception blocks-Reference-Cited by-同舟云学术

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Modeling fission gas release at the mesoscale using multiscale DenseNet regression with attention mechanism and inception blocks

Published:2024-12 Issue: Volume:601 Page:155315
ISSN:0022-3115
Container-title:Journal of Nuclear Materials
language:en
Short-container-title:Journal of Nuclear Materials

Author:

Toma Peter^ORCID,Muntaha Md Ali^ORCID,Harley Joel B.^ORCID,Tonks Michael R.^ORCID

Funder

University of Florida

Office of Science

FP7 Nuclear Fission, Safety and Radiation Protection

Stichting DOEN

Office of Advanced Research Computing, Rutgers, The State University of New Jersey

University of Tennessee

U.S. Department of Energy

US DOE NE

Publisher

Elsevier BV

Reference45 articles.

1. Unit mechanisms of fission gas release: current understanding and future needs;Tonks;J. Nucl. Mater.,2018

2. Fission gas release from UO2 nuclear fuel: a review;Rest;J. Nucl. Mater.,2019

3. A method of calculating fission-gas diffusion from uo2 and its application to the x-2-f loop test;Booth,1957

4. Physics-based modelling of fission gas swelling and release in uo2 applied to integral fuel rod analysis;Pastore;Nucl. Eng. Des.,2013

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