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Blue Waters helps predict Australian wheat yield

A new study published in Agricultural and Forest Meteorology shows machine-learning methods can accurately predict wheat yield for the country two months before the crop matures.

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    Since Blue Waters went into production on March 28, 2013, it has provided 28.6 billion core - hours to scientists and engineers across the country .

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Petascale World Topography Production (Jobs:172)
PI: Paul Morin, University of Minnesota
XE465216
Solutions to the Core-Collapse Supernova Problem from Theory (Jobs:14)
PI: Adam Burrows, Princeton University
XE73888
Thermodynamic Characterization of Large-Conductance Mechanosensitive Channel Activation (Jobs:14)
PI: Mahmoud Moradi, University of Arkansas
XE28800
Quark and gluon structure of nucleons and nuclei (Jobs:6)
PI: Phiala Shanahan, Massachusetts Institute of Technology
XK28672
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PI: Ken Dill, SUNY at Stony Brook
XK17120

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