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LLNL researchers Robert Rudd, Timofey Frolov and Amit Samanta stand in front of a simulation of material crystallites separated on the atomic level by interfaces called grain boundaries. The researchers said using machine learning to explore the possible structures of grain boundaries combined with the ability to model them computationally could have a significant impact on designing materials for a broad range of energy applications.