Thursday, 8 December 2016

Machine learning enables predictive modeling of 2-D materials

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Scientists have used machine learning tools to create the first atomic-level model that accurately predicts the thermal properties of stanene, a 2-D material made up of a one-atom-thick sheet of tin.
via Science Daily

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