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Title: Machine learning-assisted surrogate construction for full-core fuel performance analysis

Journal Article · · Annals of Nuclear Energy

Not provided.

Research Organization:
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Sponsoring Organization:
USDOE Office of Nuclear Energy (NE)
DOE Contract Number:
NE0008752
OSTI ID:
1976816
Journal Information:
Annals of Nuclear Energy, Vol. 168, Issue C; ISSN 0306-4549
Publisher:
Elsevier
Country of Publication:
United States
Language:
English

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Physics-informed reinforcement learning optimization of nuclear assembly design journal February 2021
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The Virtual Environment for Reactor Applications (VERA): Design and architecture journal December 2016
Modeling the tension–compression asymmetric yield behavior of β-treated Zircaloy-4 journal August 2014