Research on the source-detector variance reduction method based on the AIS adjoint Monte Carlo method-Reference-Cited by-同舟云学术

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Research on the source-detector variance reduction method based on the AIS adjoint Monte Carlo method

Published:2023-10 Issue: Volume:191 Page:109916
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Hao Yisheng,Qiu Rui,Wu Zhen,Gao Shenshen,Zhang Hui,Li Junli

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference24 articles.

1. Automated Weight Windows for Global Monte Carlo Particle Transport Calculations[J];Cooper;Nucl. Sci. Eng. J. Am. Nucl. Soc.,2001

2. Cooper, M.A., 1999. An automated variance reduction method for global Monte Carlo neutral particle transport problems[M].

3. Research on Monte Carlo Method for Solving Small Probability Large Contribution Problems (In Chinese) [D];Fan,2004

4. Monte Carlo variance reduction with deterministic importance functions[J];Haghighat;Prog. Nucl. Energy,2003

5. Global Evaluation of Prompt Dose Rates in ITER Using Hybrid Monte Carlo/Deterministic Techniques[J];Ibrahim;Fusion Sci. Technol.,2011

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on a Monte Carlo global variance reduction method based on an automatic importance sampling method;Nuclear Science and Techniques;2024-05

2. Research on inversion method for complex source-term distributions based on deep neural networks;Nuclear Science and Techniques;2023-12

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