Predicting Model Biases of the APOLLO3 Neutronics Code Using Machine Learning: Toward a Multiscale and Multifidelity Approach

IF 1.2 3区 工程技术 Q3 NUCLEAR SCIENCE & TECHNOLOGY
Claire Terrazzoni, Laurent Buiron, Jean-Marc Palau
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引用次数: 0

Abstract

As part of the verification, validation, and uncertainty quantification process applied to neutronics deterministic codes, there is a requirement to expand the validation domain, especially to acco...
利用机器学习预测 APOLLO3 中子代码的模型偏差:采用多尺度和多保真度方法
作为适用于中子确定性代码的验证、确认和不确定性量化过程的一部分,有必要扩大验证领域,特别是要考虑到中子确定性代码的不确定性。
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来源期刊
Nuclear Science and Engineering
Nuclear Science and Engineering 工程技术-核科学技术
CiteScore
2.10
自引率
25.00%
发文量
0
审稿时长
3 months
期刊介绍: Nuclear Science and Engineering, the research journal of the American Nuclear Society, publishes articles on research and development related to peaceful utilization of nuclear energy, radiation, and alternative energy sources.
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