Monte Carlo methods have become a cornerstone in nuclear systems analysis, particularly for sensitivity studies, which determine how variations in nuclear data can affect key reactor parameters. These ...
Markov chain Monte Carlo is a method of producing a correlated sample to estimate features of a target distribution through ergodic averages. A fundamental question is when sampling should stop; that ...
Due to robust growth in the global demand for refined products, refiners often face the tough decision of whether to spend significantly to accelerate expansion projects or stick to existing time ...