structural parameters

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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