University of Texas at Austin
Predictive Engineering and Computational Sciences

Predictive Engineering and Computational Sciences

The PECOS center pursues predictive computational simulations of complex physical systems, especially those involving fluid mechanics. To be predictive, simulations need to be based on well validated mathematical models, have well controlled numerical errors, and include quantified uncertainties. To enable predictive simulations, center researchers develop and implement mathematical models of physical phenomena and systems, formulate representations of uncertainties in such models, validate them and then use them to study the modeled phenomena and systems. Predictive modeling and simulation has been pursued for a variety of complex systems. Of particular in interest is turbulent fluid flows, for which models ranging in fidelity from the direct simulation of the Navier-Stokes equations to the Reynolds Averaged Navier-Stokes equations have been employed. Also of great current interest is predictive simulation of inductively coupled plasma torches.

Website

https://pecos.oden.utexas.edu/

Directors

Robert Moser
Robert Moser
Uncertainty Quantification Computational Mechanics High-Performance Computing

Faculty and Research Staff

George Biros
George Biros
Imaging Computational Mechanics High-Performance Computing
Noel Clemens
Noel Clemens
Computational Mechanics
Mattan Erez
Mattan Erez
Computer Systems
Omar Ghattas
Omar Ghattas
Uncertainty Quantification Inverse Problems Optimization
J. Tinsley Oden
J. Tinsley Oden
Uncertainty Quantification Computational Medicine
Keshav Pingali
Keshav Pingali
Programming languages High-Performance Computing
Laxminarayan Raja
Laxminarayan Raja
Computational Mechanics
Chris Rossbach
Chris Rossbach
Computer Architecture
Karen E. Willcox
Karen E. Willcox
Scientific Machine Learning Computational Engineering

Postdocs

Students

Staff