What is it about?
Active learning using Deep Potential GENerator is adopted to seek thermal property of molten salt.
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Why is it important?
Molten carbonates with high operating temperatures and excellent thermal properties are very promising phase change material for high temperature thermal energy storage.
Perspectives
This study opens a pathway to use machine learning potential to predict the melt structure and thermal properties of complex molten salt systems with high accuracy.
Dr. Heqing Tian
Zhengzhou University
Read the Original
This page is a summary of: High Precision Prediction of Structure and Thermal Properties of Ternary Eutectic Carbonates by Machine Learning Potential for Solar Energy Application, Materials Today Physics, February 2025, Elsevier,
DOI: 10.1016/j.mtphys.2025.101670.
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