New Tool Monitors Real Time Mutations In Flu

A Rutgers-led team has developed a tool to monitor influenza A virus mutations in real time, which could help virologists learn how to stop viruses from replicating. The gold nanoparticle-based probe measures viral RNA in live influenza A cells, according to a study in The Journal of Physical Chemistry C. It is the first time in virology that experts have used imaging tools with gold nanoparticles to monitor mutations in influenza, with unparalleled sensitivity.

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A material benefit to society, Sandia scientist elected AAAS fellow

Sandia National Laboratories senior scientist Tina Nenoff was elected by her peers fellow of the American Association for the Advancement of Science “for outstanding accomplishments in nanoporous materials and technology through research and group effort leadership, particularly in ion and gas separations for energy and environmental applications.”

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CFN Staff Spotlight: Xiaohui Qu Bridges the Data Science-Materials Science Gap

As a staff member in the Theory and Computation Group at Brookhaven Lab’s Center for Functional Nanomaterials, Qu applies various approaches in artificial intelligence to analyze experimental and computational nanoscience data.

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Machine learning technique speeds up crystal structure determination

A computer-based method could make it less labor-intensive to determine the crystal structures of various materials and molecules, including alloys, proteins and pharmaceuticals. The method uses a machine learning algorithm, similar to the type used in facial recognition and self-driving cars, to independently analyze electron diffraction patterns, and do so with at least 95% accuracy.

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