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

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Year: 2024
Type: article
Source: Journal of Nuclear Materials
DOI: 10.1016/j.jnucmat.2024.155315
Authors: Peter Toma, Md Ali Muntaha, Joel B. Harley, Michael R. Tonks
Language: English

Topic: Fusion materials and technologies
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
SDG: Affordable and clean energy

Open Access status: bronze

Funders: U.S. Department of Energy, University of Tennessee, University of Florida, Stichting DOEN, Office of Science, Office of Nuclear Energy, Office of Advanced Research Computing, Rutgers, The State University of New Jersey, FP7 Nuclear Fission, Safety and Radiation Protection
Award: G5466729607
OpenAlex ID: W4401330233
FWCI: 1.135
Cites: 40
Cited by: 12
Related to: 10
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