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 ...
Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory ...
Researchers at TU Wien have developed a nanomembrane-based infrared spectroscopy technique that detects trace particles in air or liquids within minutes, surpassing existing methods in sensitivity and ...
If you would like to learn more about the IAEA’s work, sign up for our weekly updates containing our most important news, multimedia and more. The IAEA facilitated the co-operation on research and ...
Sensitivity analysis helps predict outcomes by varying key variables in financial models. It simplifies complex models, aids in understanding variable effects, and reduces uncertainty. This analysis ...