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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Why is it important?
Machine learning methods could advance the application of molten salt phase change materials.
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This page is a summary of: Development of NaCl–MgCl2–CaCl2 Ternary Salt for High-Temperature Thermal Energy Storage Using Machine Learning, ACS Applied Materials & Interfaces, December 2023, American Chemical Society (ACS),
DOI: 10.1021/acsami.3c13412.
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