A multiclass classification model for predicting the thermal conductivity of uranium compounds-Reference-Cited by-同舟云学术

A multiclass classification model for predicting the thermal conductivity of uranium compounds

Published:2023-10-20 Issue: Volume: Page:1-11
ISSN:0022-3131
Container-title:Journal of Nuclear Science and Technology
language:en
Short-container-title:Journal of Nuclear Science and Technology

Author:

Sun Y.¹^ORCID,Kumagai M.¹²³,Jin M.¹,Sato E.¹,Aoki M.¹,Ohishi Y.⁴^ORCID,Kurosaki K.¹⁵

Affiliation:

1. Institute for Integrated Radiation and Nuclear Science, Kyoto University, Kumatori, Sennan, Japan

2. SAKURA internet Research Center, SAKURA internet Inc, Kita-ku, Osaka, Japan

3. Center for Advanced Intelligence Project, RIKEN, Chuo-ku, Tokyo, Japan

4. Graduate School of Engineering, Osaka University, Suita, Osaka, Japan

5. Research Institute of Nuclear Engineering, University of Fukui, Tsuruga, Fukui, Japan

Funder

Research and Development

Publisher

Informa UK Limited

Subject

Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00223131.2023.2269974

Reference53 articles.

1. Accident tolerant fuel cladding development: Promise, status, and challenges

2. Research and Development Methodology for Practical Use of Accident Tolerant Fuel in Light Water Reactors

3. Accident tolerant fuels for LWRs: A perspective

4. Pasamehmetoglu K, Massara S, Costa D, et al. State-of-the-art report on light water reactor accident-tolerant fuels. Boulogne-Billancourt, France: Nuclear Energy Agency; 2018.

5. Current state and prospect on the development of advanced nuclear fuel system materials: A review

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