Gaussian processes for surrogate modeling of discharged fuel nuclide compositions

Author:

Figueroa Antonio,Göttsche Malte

Funder

VolkswagenStiftung

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference24 articles.

1. A prognostics approach to nuclear component degradation modeling based on gaussian process regression;Baraldi;Prog. Nucl. Energy,2015

2. Bowman, S.M., Leal, L.C., 2006. ORIGEN-ARP: Automatic Rapid Process for Spent Fuel Depletion, Decay, and Source Term Analysis - NUREG/CR-0200 Revision 6, Vol. 1-D1, Oak Ridge National Laboratory.

3. Numerical Analysis;Burden,2010

4. Cacuci, D.G., 2010. Handbook of Nuclear Engineering, Vol. 1, Springer Science & Business Media, Berlin Heidelberg, Ch. 5, pp. 532–540.

5. Feasibility of fuel cycle characterization using multiple nuclide signatures;Dayman;J. Radioanal. Nucl. Chem.,2012

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