Machine learning techniques to probe the properties of molten salt PCMs for thermal energy storage

What is it about?

In this study, we employ two machine learning methods with three machine learning potential functions to investigate the local structure and thermal properties of a binary chloride salt, and the accuracy and applicability of the threemachine learning potentials are assessed.

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Photo by Benjamín Gremler on Unsplash

Photo by Benjamín Gremler on Unsplash

Why is it important?

Machine learning methods could advance the application of molten salt phase change materials.