Gaussian Processes for Surrogate Modeling of Discharged Fuel Nuclide Compositions

23 June 2020

Papers citing "Gaussian Processes for Surrogate Modeling of Discharged Fuel Nuclide Compositions"

2 / 2 papers shown

Title
Inverse Uncertainty Quantification using the Modular Bayesian Approach based on Gaussian Process, Part 1: Theory Xu Wu T. Kozłowski Hadi Meidani K. Shirvan 43 100 0 05 Jan 2018
Fundamental concepts in the Cyclus nuclear fuel cycle simulation framework K. Huff M. Gidden R. Carlsen R. Flanagan M. McGarry A. Opotowsky E. Schneider A. Scopatz P. Wilson 21 44 0 11 Sep 2015