The mission of the Verification, Validation, and Uncertainty Quantification (VVUQ) department (1544) is to provide research, development, and application of analytical, computational, and experimental techniques to assess the credibility of physics-based computational models and simulations. This highly cross-cutting, multi-disciplinary team, experienced in simulation and experimentation, draws from a wide range of disciplines, including fluid dynamics, electromagnetics, radiation effects, solid and structural mechanics, heat transfer, numerical methods, optimization, statistics, and risk assessment, to support the laboratories¿ mission. Verification, validation, and uncertainty quantification (VVUQ) is an interdisciplinary activity that identifies, communicates, and prioritizes gaps in modeling and simulation credibility to support informed decision-making. Verification determines whether a computational model accurately represents the mathematical model of a physical process, and that the computational model is solved correctly. Validation determines the degree of agreement between experimental data and simulation data, including their respective uncertainties. Uncertainty quantification is a key element of validation and it encompasses a broad range of mathematical and statistical analysis methods to assess and quantify model uncertainty. The combination of verification, validation, and uncertainty quantification establishes credibility in our computational models, which are then employed in making high-consequence risk-informed decisions.
