The Journal of Verification, Validation and Uncertainty Quantification focuses on methods and applications for assessing the credibility and reliability of computational models and simulations. This includes techniques for verification, validation against experimental data, and the quantification of uncertainties arising from various sources such as input parameters, model form, and numerical discretization. The journal also covers the application of these methods in diverse engineering and scientific domains.
Computer Science ApplicationsComputational Theory and MathematicsStatistics and ProbabilityModeling and Simulation
Research Topics (OpenAlex)
Probabilistic and Robust Engineering DesignComputational Fluid Dynamics and AerodynamicsAdvanced Multi-Objective Optimization AlgorithmsNuclear Engineering Thermal-HydraulicsFluid Dynamics and Turbulent FlowsWind and Air Flow StudiesNuclear reactor physics and engineeringStructural Health Monitoring TechniquesAdvanced Numerical Methods in Computational MathematicsModel Reduction and Neural Networks