statistics

Predicting atomic positions: Bayesian statistics enable more accurate materials characterization

By April Gocha / September 6, 2016

Researchers at North Carolina State University, the National Institute of Standards and Technology, and Oak Ridge National Laboratory have devised a new method for characterizing materials that can more accurately predict crystallographic structures.

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Ceramics and glass business news of the week

By April Gocha / July 24, 2015

Tax credits boost manufacturing, glass still topping sapphire, and more ceramics and glass business news of the week for July 24, 2015.

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Predictive value of Web searches, in certain situations, established

By / October 15, 2010

This isn’t materials science, but I think this work by a Yahoo! Research team (appearing as a free download in the current  Proceedings of the National Academy of Science) has…

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