Works (4)
Updated: July 5th, 2023 14:27
2023 journal article
Prediction and uncertainty quantification of SAFARI-1 axial neutron flux profiles with neural networks
ANNALS OF NUCLEAR ENERGY, 188.
author keywords: Uncertainty quantification; Deep neural networks; Bayesian Neural Networks; Monte Carlo dropout
TL;DR:
Deep Neural Networks are used to predict the assembly axial neutron flux profiles in the SAFARI-1 research reactor with quantified uncertainties in the ANN predictions and extrapolation to cycles not used in the training process, indicating good prediction and generalization capability.
(via Semantic Scholar)
arxiv.org (repository)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 23, 2023
2022 article
A Multigroup Homogeneous Flux Reconstruction Method Based on the ANOVA-HDMR Decomposition
Bokov, P. M., Botes, D., Prinsloo, R. H., & Tomasevic, D. I. (2022, September 11). NUCLEAR SCIENCE AND ENGINEERING.
author keywords: Flux reconstruction; higher-order nodal method; transverse-integrated nodal methods; ANOVA-HDMR; BEAVRS benchmark
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: September 19, 2022
2021 journal article
DUAL NUMBER AUTOMATIC DIFFERENTIATION AS APPLIED TO TWO-GROUP CROSS-SECTION UNCERTAINTY PROPAGATION
NUCLEAR TECHNOLOGY & RADIATION PROTECTION, 36(2), 107–115.
author keywords: automatic differentiation; dual numbers; sandwich formula; sensitivity analysis; uncertainty propagation; power iteration
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: November 29, 2021
2021 journal article
Lattice physics calculations using the embedded self-shielding method in polaris, Part II: Benchmark assessment
ANNALS OF NUCLEAR ENERGY, 150.
author keywords: Lattice physics; Benchmark; SCALE; Polaris; KENO; LWR
TL;DR:
This paper solves a simplistic example of an infinite, homogeneous diffusion problem using parameters that correspond to a plate-type, Material Testing Reactor fuel assembly and demonstrates how AD can be employed in conjunction with some traditionally used sensitivity analysis and uncertainty propagation techniques.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: Web Of Science
Added: January 11, 2021
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