Composition-transferable machine learning potential for LiCl-KCl molten salts validated by high-energy x-ray diffraction

Keyphrases

• High-temperature X-ray Diffraction (HT-XRD) 100%
• Gaussian Approximation Potential 100%
• Machine Learning Potential 100%
• LiCl-KCl Molten Salt 100%
• Diffraction Experiment 66%
• High Temperature 33%
• Mixture Composition 33%
• Liquid Structure 33%
• Training Model 33%
• Molten Salt 33%
• Metadynamics 33%
• Molten LiCl-KCl 33%

Physics

• Gaussian Distribution 100%
• Machine Learning 100%
• Molten Salts 100%
• Density Functional Theory 33%
• Eutectics 33%
• Structure of Liquids 33%

Chemistry

• Phase Composition 100%
• Molten Salt 100%
• Gaussian Distribution 75%
• Density Functional Theory 25%
• Eutectics 25%
• Structure of the Liquid 25%