Three-Dimensional Surrogate Model Based on Back-Propagation Neural Network for Key Neutronics Parameters Prediction in Molten Salt Reactor

Three-Dimensional Surrogate Model Based on Back-Propagation Neural Network for Key Neutronics Parameters Prediction in Molten Salt Reactor

The simulation and analysis of neutronics parameters in Molten Salt Reactors (MSRs) is fundamental for the design of the reactor core. However, high-fidelity neutron transport calculations of the MSR are time-consuming and require significant computational resources. Artificial neural networks (ANNs...

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Bibliographic Details
Main Authors: Xinyan Bei, Yuqing Dai, Kaicheng Yu, Maosong Cheng
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Energies
Subjects:
surrogate model
BP neural network
high-fidelity neutron transport
MSRE
3D neutron flux distribution prediction
Online Access:https://www.mdpi.com/1996-1073/16/10/4044

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https://www.mdpi.com/1996-1073/16/10/4044

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