Machine Learning Model for Assessing Melting Pressure Conditions of the TTG Genesis: Implications for the Timing of the Onset of Global Plate Tectonics

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Predictive machine learning model improves understanding of melting pressure conditions in tonalite-trondhjemite-granodiorite rocks.
The model effectively incorporates fractional crystallization effects and batch processing for enhanced accuracy.
Analysis highlights that true global high-pressure TTGs account for only about 8% of the rock record, much less than prior estimates.
Findings indicate increased crustal rigidity post-3.5 Ga likely spurred high-pressure melting and tectonic activity.

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Machine learning model assesses melting pressures of TTGs in Archean conditions, suggesting lower global high-pressure TTGs post-3.5 Ga.

Lu et al. (2025) studied this question.

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