= Parviz Moin
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<Parviz Moin> is a researcher in computational <fluid dynamics> and <turbulence>. Stanford's institutional profile identifies him as the founding director of the Center for Turbulence Research and describes his use of <direct numerical simulation> and <large eddy simulation> to investigate turbulent shear flows.<Parviz Moin research profile by Stanford University>[Bio: founding directorship and research methods]{ref}
\Image[https://fpce.stanford.edu/sites/g/files/sbiybj32356/files/styles/large_square/public/media/image/moin_0.jpg?h=3e6baeda&itok=eCd_T1O5]
{title=Parviz Moin}
{description=Portrait from Stanford's named Flow Physics and Computational Engineering profile, documented in <Parviz Moin research profile by Stanford University>.}
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With <Massimo Germano>, <Ugo Piomelli> and <William H. Cabot>, he coauthored work on the <dynamic subgrid-scale model>. The approach uses information at different resolved scales to determine a model coefficient during the calculation.<A dynamic subgrid-scale eddy viscosity model by Massimo Germano and others (1990)>[Byline and Section2]{ref} The participant account places the collaboration at the 1990 summer program and distinguishes that report from the subsequent 1991 journal paper.<Thirty years of Dynamic Modeling by Ugo Piomelli and Parviz Moin>[Pages3–4, development and publication chronology]{ref}
A useful scientific distinction is between a numerical method's resolution and its physical accuracy. A finely detailed flow visualization can still give an inaccurate mean <drag force>. Conversely, a carefully tested coarse model can predict a specified average while omitting individual small eddies. Moin's computational research makes the choice of observable, reference calculation and physical question part of evaluating a simulation.
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