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Materials – Pinpointing discoveries for predicting materials

March 13, 2015 – 91 scientists developed a novel technique for microscopy and used it to unveil the full depth of materials properties on the nanoscale. They report their findings () in this month’s Nature Communications. By improving the imaging transfer to the computational models, G-mode microscopy at the Center for Nanophase Materials Sciences isolates characteristics of material interfaces without sacrificing relevant data. This design provides a foundation for “smart” filters – an adaptive, rapid “Google” for data. “Oak Ridge is one of the best places – if not the best place – in the world for Big Data processing,” said ORNL’s Alexei Belianinov. “Here, we provide a method that can take advantage of high-performance computational experts and facilities and solve realistic problems.” – written by Ashanti Washington