Journal of Verification, Validation and Uncertainty Quantification

Journal of Verification, Validation and Uncertainty Quantification (JVVUQ) disseminates original and applied research, illustrative examples, and high quality validation experiment data from leaders in the field of VVUQ of Computation Models

Editor: Ashley F. Emery, University of Washington

The Journal of Verification, Validation and Uncertainty Quantification (JVVUQ) disseminates original and applied research, illustrative examples, and high quality validation experiment data from leaders in the field of VVUQ of Computation Models. The JVVUQ is cross cutting and serves an audience of engineers and scientists. It provides special issues featuring challenge problems and discipline specific applications.

Scope: Areas of interest including, but not limited to: code verification; solution verification; validation; uncertainty quantification; model prediction; model adequacy; model accuracy; predictive capacity; model maturity; phenomena identification and ranking table (PIRT); experimental uncertainty; Uncertainty in measurement; Model uncertainty; Sensitivity analysis; Model fidelity; Intended use; context of use; regulatory science; aleatoric uncertainty; epistemic uncertainty; comparator; quantification of margins and uncertainties (QMU)

2018: Volume 3, 4 issues || ISSN: 2377-2158 || eISSN: 2377-2166

http://verification.asmedigitalcollection.asme.org