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If one could sufficiently contract for a fabulous voyage throughout a lithium battery electrode, they would be able to notice that the level of charge at every scale is highly irregular.
E-Mail IMAGE: Engineers at Rice University and Lawrence Livermore National Laboratory are using neural networks to accelerate the prediction of how microstructures of materials evolve. This example predicts snowflake-like dendritic crystal growth.... view more Credit: Mesoscale Materials Science Group/Rice University HOUSTON - (April 30, 2021) - The microscopic structures and properties of materials are intimately linked, and customizing them is a challenge. Rice University engineers are determined to simplify the process through machine learning. To that end, the Rice lab of mat...