Developing reference-based correlations for temperature distribution in VVER reactor using gene expression programming and single-heated channel approach

Author:

Sadeghi KhashayarORCID,Hadi Ghazaie Seyed,Kalanke NatashaORCID,Sokolova Ekaterina,Aghaie Mahdi,Naserbegi Azadeh,Modestov Victor

Funder

Ministry of Science and Higher Education of the Russian Federation

Publisher

Elsevier BV

Reference45 articles.

1. A coupled neutronic/thermal–hydraulic module for the transient analysis of VVER-1000 reactor during reactivity insertion accidents;Ajami;Prog. Nucl. Energy,2020

2. Allison, C.M., G.A. Berna, SCDAP/RELAP5/MOD 31 code manual: MATPRO, A library of materials properties for Light-Water-Reactor accident analysis Volume 4. 1995: United States. p. 668.

3. Prediction of building energy performance using mathematical gene-expression programming for a selected region of dry-summer climate;Alzara;Eng. Appl. Artif. Intel.,2023

4. Artificial Intelligence for Accelerating Nuclear Applications, Science and Technology. 2022, Vienna: International Atomic Energy Agency.

5. Application of Machine Learning for Classification of Nuclear Reactor Operational Status Using Magnetic Field Sensors;Burt;J. Nucl. Eng.,2023

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