Partitioning of sulfur between solid and liquid iron under Earth’s core conditions: Constraints from atomistic simulations with machine learning potentials
Partitioning of sulfur between solid and liquid iron under Earth’s core conditions: Constraints from atomistic simulations with machine learning potentials
Authors
Keywords
Partition coefficient, Sulfur, Earth’s core, First principles, Machine learning, Light elements, Density functional theory
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