Research on the Preliminary Prediction of Nuclear Core Design Based on Machine Learning-Reference-Cited by-同舟云学术

Research on the Preliminary Prediction of Nuclear Core Design Based on Machine Learning

Published:2022-02-15 Issue:7 Volume:208 Page:1223-1232
ISSN:0029-5450
Container-title:Nuclear Technology
language:en
Short-container-title:Nuclear Technology

Author:

Lei Jichong¹²^ORCID,Chen Zhenping¹²,Zhou Jiandong³,Yang Chao¹²,Ren Changan¹⁴,Li Wei¹,Xie Chao¹²,Ni Zining¹²,Huang Gan¹²,Li Leiming¹²,Xie Jinsen¹²,Yu Tao¹²

Affiliation:

1. University of South of China, School of Nuclear Science and Engineering, Hengyang 421001, PR China

2. University of South China, Hunan Engineering and Technology Research Center for Virtual Nuclear Reactor, Hengyang 421001, PR China

3. Shanghai Nuclear Engineering Research and Design Institute Co., Ltd, Shanghai 200000, PR China

4. Hunan Institute of Technology, School of Computer Science, Hengyang, Hunan 421000, China

Funder

Scientific Research Project of Hunan Provincial Education Department

Science and Technology Innovation Program of Hunan Province

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295450.2021.2018270

Reference26 articles.

1. Advanced PWR Core Calculation Based on Multi-group Nodal-transport Method in Three-dimensional Pin-by-Pin Geometry

2. Prediction of 3D nuclear reactor's operational parameters from 2D fuel lattice design information: A data mining approach

3. A. HÉBERT, D. SEKKI, and R. CHAMBON, “A User Guide for DONJON Version4,” Tech. Rep. IGE-300, École Polytechnique de Montréal (2013).

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