Sparse Polynomial Chaos expansion for advanced nuclear fuel cycle sensitivity analysis

Automated selection of nuclides and reactions of interest in a depletion simulation. Precision loss estimation for multiple outputs

“…For meta-model using predictors directly for the isotopic composition of the spent fuel, like the sparse polynomial chaos expansion available in TR_EVOL [24] or the neural networks available in CYCLUS [2], no decrease of running time inside the fuel cycle simulator will probably occur.…”