Virtual Measurement

A virtual measurement is a quantitative result and its uncertainty, obtained primarily by computer simulation or computer-assisted measurements. Examples of virtual measurements include computational models of physical systems and visualizations of the results. The Virtual Measurement Systems Program introduces metrology constructs - standard reference computations, uncertainty quantification, and traceability - into scientific computation and computer-assisted measurement technologies. As with physical measurement systems, development of a virtual metrology infrastructure will result in predictive computing with quantified reliability. In turn, this will enable improved decision making based on results of computer simulations.



Virtual Measurement System projects are organized along two principal research areas.
Standard Reference Computations:
Reference implementations of numerical solvers, benchmark problems, numerical reference data.

Uncertainty Quantification for Models and Simulation:
  Applications of uncertainty quantification to numerical simulation results in select scientific fields.

Latest Publications:

To be added later
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Related Links

Virtual Measurement Systems, NIST Computational Chemistry Group
Managing Uncertainty of Computational Models, University of Sheffield
2011-12 Program on Uncertainty Quantification, Statistical and Applied Mathematical Sciences Institute (SAMSI)

Conferences and Events

International Conference on Special Functions in the 21st Century: Theory and Applications, April 6-8, Washington D. C.

IFIP Working Conference on Uncertainty Quantification in Scientific Computing: August 1-4, 2011, Boulder, Colorado

Staff Directory

Andrew Dienstfrey
Program Manager
303-497-7485 Telephone

325 Broadway, M/S 891.01
Boulder, CO  80305-3328