A DEEP LEARNING BASED SURROGATE MODEL FOR ESTIMATING THE FLUX AND POWER DISTRIBUTION SOLVED BY DIFFUSION EQUATION

A DEEP LEARNING BASED SURROGATE MODEL FOR ESTIMATING THE FLUX AND POWER DISTRIBUTION SOLVED BY DIFFUSION EQUATION

A deep learning based surrogate model is proposed for replacing the conventional diffusion equation solver and predicting the flux and power distribution of the reactor core. Using the training data generated by the conventional diffusion equation solver, a special designed convolutional neural netw...

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Bibliographic Details
Main Authors: Zhang Qian, Zhang Jinchao, Liang Liang, Li Zhuo, Zhang Tengfei
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:EPJ Web of Conferences
Subjects:
deep learning
surrogate model
convolutional neural network
diffusion
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_03013.pdf

Internet

https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_03013.pdf

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