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Archive of past stories

Future flames  (September 15, 2009)
Ultra-lean premixed flames hold promise for boosting efficiency and cutting emissions in thousands of boilers, furnaces and turbines, but they’re often unstable and subject to quenching. Detailed computer models are helping researchers understand and improve these complex chemical reactions.
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Causing a stir  (August 17, 2009)
Sandia National Laboratory scientists use one of the world’s most powerful computers to decipher turbulent flows in flames – a key factor in understanding and improving combustion, which is still likely to be the world’s main energy source for decades.
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Hard target  (June 1, 2009)
Concrete may be as common as dirt today, but much of what’s known about pouring this vital material is based on the gut feelings of experienced crews. Now computer models are illuminating what influences flow and how that affects stress and environmental impact.
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Power from plants  (February 26, 2009)
The woody material in plant stems and leaves could be an abundant source of ethanol is an economical way can be found to break it into sugars. Oak Ridge National Laboratory researchers are deploying massive computer resources to decipher this obstacle.
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Moving mounds of data  (February 12, 2009)
The increasing power of high-performance computers has created a parallel increase in the data they process and produce. But moving mountains of data can lead to bottlenecks that limit computers’ speed. Researchers are finding ways to break those barriers.
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Hot stuff  (August 13, 2007)
A computer simulation will show how new, efficient nuclear power plants can keep their cool. The project will use a grant of 1 million processor hours from the Department of Energy’s INCITE program.
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Star material  (July 2, 2007)
A simulation of the deaths of massive stars is shedding light on the origin of everything, from the iron in our blood to the planet we live on.
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Speed bump  (April 16, 2007)
Computer scientists helped bump up the speed with which a combustion simulation program ran by as much as 10 times.  The simulation ran on some of the world’s most powerful high-performance computers.
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