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.
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Martin Burtscher, David Hatch, Chris Madden
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March 19, 2025
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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Oct. 17, 2024
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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July 2, 2024
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.