Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications.

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A research team at Oak Ridge National Laboratory (ORNL) has developed a new machine learning method to predict the properties of molten salts, materials widely used in the nuclear energy field.

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LiF–NaF–ZrF4 multicomponent molten salts are promising candidate coolants for advanced clean energy systems owing to their desirable thermophysical and transport properties. However, the complex ...