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
Jesse Chan
Jesse Chan
Computational Engineering Scientific Computing Reduced order modeling
Noel Clemens
Noel Clemens
Computational Mechanics
Mattan Erez
Mattan Erez
Computer Systems
Omar Ghattas
Omar Ghattas
Uncertainty Quantification Inverse Problems Optimization
Keshav Pingali
Keshav Pingali
Programming languages High-Performance Computing
Laxminarayan Raja
Laxminarayan Raja
Computational Mechanics
Philip Varghese
Philip Varghese
Fluid Mechanics Thermodynamics Quasi-Particle Simulation
Karen E. Willcox
Karen E. Willcox
Scientific Machine Learning Computational Engineering

Postdocs

Students

Staff

Members outside the Oden Institute

Martin Burtscher, David Hatch, Chris Madden

News in brief

Computational Breakthroughs in Medical Imaging - Profile Umberto Villa

Profile

March 19, 2025

Computational Breakthroughs in Medical Imaging - Profile Umberto Villa

Umberto Villa, a Principal Faculty member at the Oden Institute, combines computational science, mathematics, and engineering to advance medical imaging and cancer diagnostics. Through virtual imaging trials and AI-driven research, he aims to revolutionize how medical devices are tested and improve patient care, all while fostering interdisciplinary collaboration in computational science.

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Could Hydrogen, Ammonia Blends Become the Key to Clean Electricity?

Feature

Oct. 17, 2024

Could Hydrogen, Ammonia Blends Become the Key to Clean Electricity?

Oden Institute affiliated faculty members Fabrizio Bisetti and Noel Clemens are combining hydrogen and ammonia, which are in many ways natural complements, as a potential source for generating carbon-free electricity.

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New Imaging Technique Uses Earth’s Warped Surface To Reveal Rocky Interior

News

July 2, 2024

New Imaging Technique Uses Earth’s Warped Surface To Reveal Rocky Interior

Surface mapping technology such as GPS, radar and laser scanning have long been used to measure features on the Earth’s surface. Now, a new computational technique is allowing scientists to use those technologies to look inside the planet.

Read more