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Engineers, Computer Scientists Team Up to Improve Particle Simulations for Aerospace, More


The researchers think improved particle simulations could have applications for new sustainable energy technologies.

Researchers at the University of Colorado Boulder are using advanced supercomputing to improve particle flow models.

Credit: Research Computing/University of Colorado Boulder

Researchers at the University of Colorado Boulder (CU Boulder) are using a $3-million grant from the U.S. Department of Energy (DoE) to use advanced supercomputing to improve particle flow models that could have far-reaching implications for the pharmaceutical, energy, and aerospace sectors.

The researchers say improved particle simulations could have applications for new sustainable energy technologies such as gasification and solar panels.

In addition, improved particle simulations could help pharmaceutical companies improve their manufacturing techniques, and they could be used by the U.S. National Aeronautics and Space Administration to predict the flow trajectory of dust particles during rocket takeoffs and landings.

The DoE grant will launch a two-pronged approach in which the researchers will use the Rocky Mountain Advanced Computing Consortium's "Summit" supercomputer to accelerate computations and optimize the underlying algorithms in order to reduce uncertainty in the results.

From CU Boulder Today
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Abstracts Copyright © 2017 Information Inc., Bethesda, Maryland, USA


 

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