Convolutional Neural Network–Aided Temperature Field Reconstruction: An Innovative Method for Advanced Reactor Monitoring-Reference-Cited by-同舟云学术

Convolutional Neural Network–Aided Temperature Field Reconstruction: An Innovative Method for Advanced Reactor Monitoring

Published:2023-02-14 Issue:5 Volume:209 Page:645-666
ISSN:0029-5450
Container-title:Nuclear Technology
language:en
Short-container-title:Nuclear Technology

Author:

Leite Victor C.¹^ORCID,Merzari Elia¹,Ponciroli Roberto²,Ibarra Lander²

Affiliation:

1. The Pennsylvania State University, Ken and Mary Alice Lindquist Department of Nuclear Engineering, 205 Hallowell Building, University Park, Pennsylvania 16802

2. Argonne National Laboratory, Nuclear Science and Engineering Division, 9700 South Cass Avenue, Lemont, Illinois 60439

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295450.2022.2151822

Reference44 articles.

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2. A new paradigm for core design aimed at the sustainability of nuclear energy: The solution of the extended equilibrium state

3. Preliminary thermal–hydraulic core design of the Molten Salt Fast Reactor (MSFR)

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