Physics Department Seminar | University of Alaska Fairbanks |
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J O U R N A L C L U B |
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Verification and
Validation of Models (revisited): |
by |
David Newman |
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ABSTRACT Predictive
capability has emerged as a key goal/phrase in much of
modeling research. It truely is important because its attainment
would signify the quantitative maturity in understanding and
modeling science of interest. However, defining this is a
difficult job. Bona fide predictive capability will require
computational models that have been shown to be valid under widely
accepted standards (Validation). This talk identifies and explores
issues that must be confronted in demonstrating the validity of
computational models (particularly models of large complex systems
such as space and fusion plasmas, climate models etc). To move
toward the community consensus, that will ultimately determine
what validity means, we are trying to begin a process of
establishing guidelines and good practices in validation of
computation models. |
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Friday, 15 October 2021 |
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On Zoom only: https://zoom.us/j/796501820?pwd=R2xEcXNwZGVRbG0va29iN2REU241UT09 | ||
3:45PM |