Journal of Verification, Validation and Uncertainty Quantification

Newest Issue: (March 2017, Volume 2, Issue 1)
Issues In Progress:
Editorial | December 2016
Ashley F. Emery
   doi: 10.1115/1.4035556
research-article | March 2017
research-article | March 2017
research-article | March 2017
research-article | June 2016
research-article | March 2017
Dan Ao, Zhen Hu and Sankaran Mahadevan
   doi: 10.1115/1.4036182
research-article | December 2016
Tyrone S. Phillips and Christopher J. Roy
   doi: 10.1115/1.4035666
AMR Podcast
February 21, 2017
Applied Mechanics Reviews Audio Interview: Prof. Emeritus Simon Ostrach
50 minutes, 09 seconds

Recognized by NASA as a giant in heat transfer research, Prof. Simon Ostrach received the inaugural ASME Heat Transfer Division Memorial Award in 1975 and attained membership in the National Academy of Engineering in 1978 for his fundamental discoveries in the field of buoyancy-driven convection. This AMR audio interview paints a remarkable picture of six decades of intellectual leadership and advocacy, including his work as principal investigator on two NASA Spacelab missions in 1992 and 1995 that investigated surface-tension driven convection under microgravity conditions, his commitment to the rigorous integration of research and design, and his, at one time, insatiable appetite for the thrills of weightless flight on the NASA “Vomit Comet.”

About This Journal

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.

Editor: Ashley F. Emery,
University of Washington
View Full Editorial Board
Frequency: Quarterly

The scope of this journal includes although 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).

ISSN: 2377-2158
eISSN: 2377-2166

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