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Nuclear Science and Engineering Volume 188, 2017 - Issue 2
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Technical Papers

Kernel Density Estimation of Reaction Rates in Neutron Transport Simulations of Nuclear Reactors

Timothy P. BurkeUniversity of Michigan, Nuclear Engineering and Radiological Sciences, 2355 Bonisteel Boulevard, Ann Arbor, Michigan48109Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0003-2363-085X
ORCID Icon,
Brian C. KiedrowskiUniversity of Michigan, Nuclear Engineering and Radiological Sciences, 2355 Bonisteel Boulevard, Ann Arbor, Michigan48109ORCID Iconhttp://orcid.org/0000-0001-8517-4410
ORCID Icon &
William R. MartinUniversity of Michigan, Nuclear Engineering and Radiological Sciences, 2355 Bonisteel Boulevard, Ann Arbor, Michigan48109
Pages 109-139 | Received 13 Apr 2017, Accepted 29 Jun 2017, Published online: 11 Aug 2017

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Timothy P. Burke & Brian C. Kiedrowski. (2018) Monte Carlo Perturbation Theory Estimates of Sensitivities to System Dimensions. Nuclear Science and Engineering 189:3, pages 199-223.
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Articles from other publishers (3)

Delgersaikhan Tuya & Yasunobu Nagaya. (2023) Estimation of Continuous Distribution of Iterated Fission Probability Using an Artificial Neural Network with Monte Carlo-Based Training Data. Journal of Nuclear Engineering 4:4, pages 691-710.
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Firas Bayram, Phil Aupke, Bestoun S. Ahmed, Andreas Kassler, Andreas Theocharis & Jonas Forsman. (2023) DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks. Engineering Applications of Artificial Intelligence 123, pages 106480.
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Jeehwan S. Lee, Juyeong Jung, Kosan Roh, Seongmin Heo, Ung Lee & Jay H. Lee. (2022) Risk-based uncertainty assessment to identify key sustainability hurdles for emerging CO 2 utilization technologies . Green Chemistry 24:11, pages 4588-4605.
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