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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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Building stronger, lighter ceramic microstructures sans the diffraction limit

By April Gocha / June 27, 2014

Researchers from MIT and LLNL have busted the diffraction limit to development a new class of materials with unprecedented high strength and low density.

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