A machine learning informed prediction of severe accident progressions in nuclear power plants-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A machine learning informed prediction of severe accident progressions in nuclear power plants

Published:2024-06 Issue:6 Volume:56 Page:2266-2273
ISSN:1738-5733
Container-title:Nuclear Engineering and Technology
language:en
Short-container-title:Nuclear Engineering and Technology

Author:

Song JinHo,Kim SungJoong^ORCID

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Reference31 articles.

1. Information Portal for the Fukushima Daiichi Accident Analysis and Decommissioning Activities,2022

2. ML11171A416 - Westinghouse AP1000 Design Control Document Rev. 19 - Tier 2,2011

3. AI-based design of a nuclear reactor core;Sobes;Sci. Rep.,2021

4. Estimation of LOCA break size using cascaded fuzzy neural networks;Choi;Nucl. Eng. Technol.,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Current Progress in the Application of Artificial Intelligence for Nuclear Power Plant Operation;Korean Journal of Chemical Engineering;2024-08-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP