Combining Total Monte Carlo and Benchmarks for Nuclear Data Uncertainty Propagation on a Lead Fast Reactor's Safety Parameters
Author:
Publisher
Elsevier BV
Subject
Nuclear and High Energy Physics
Cited by 11 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. Dimensionality reduction combined with particle swarm optimization algorithm for solving high-dimensional nuclear data target accuracy evaluation problem;Annals of Nuclear Energy;2024-04
2. Bayesian updating for data adjustments and multi-level uncertainty propagation within Total Monte Carlo;Annals of Nuclear Energy;2020-05
3. Nuclear Data Covariance Analysis in Radiation-Transport Simulations Utilizing SCALE Sampler and the IRDFF Nuclear Data Library;IEEE Transactions on Nuclear Science;2020-03
4. Applying SHARK-X to perform data assimilation with the LWR-PROTEUS Phase II integral experiments;Progress in Nuclear Energy;2020-03
5. Selecting benchmarks for reactor simulations: An application to a lead fast reactor;Annals of Nuclear Energy;2016-10
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