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.[ref]
Parviz Moin research profile by Stanford University. Bio: founding directorship and research methods
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.[ref]
A dynamic subgrid-scale eddy viscosity model by Massimo Germano and others (1990). Byline and Section2
The participant account places the collaboration at the 1990 summer program and distinguishes that report from the subsequent 1991 journal paper.[ref]Thirty years of Dynamic Modeling by Ugo Piomelli and Parviz Moin. Pages3–4, development and publication chronology
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.
Articles by others on the same topic
Parviz Moin is an Iranian-American computational fluid dynamics (CFD) researcher and educator known for his contributions to the field of fluid mechanics and numerical methods. He is particularly recognized for his work on turbulence modeling and simulations, as well as for developing advanced computational techniques used in aerospace engineering and other applications involving fluid flows. Moin has held academic positions at various institutions, including Stanford University, where he has contributed to both research and teaching in engineering and applied science.