Predicting and optimizing the thermal-hydraulic, natural circulation, and neutronics parameters in the NuScale nuclear reactor using nanofluid as a coolant via machine learning methods through GA, PSO and HPSOGA algorithms-Reference-Cited by-同舟云学术

Predicting and optimizing the thermal-hydraulic, natural circulation, and neutronics parameters in the NuScale nuclear reactor using nanofluid as a coolant via machine learning methods through GA, PSO and HPSOGA algorithms

Published:2021-10 Issue: Volume:161 Page:108375
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Rahnama Z.,Ansarifar G.R.

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference63 articles.

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