AI summaryIntegrates prior geological knowledge into an adversarial autoencoder to identify geochemical anomalies associated with tungsten mineralisation in southern Jiangxi. Multifractal singularity analysis quantifies relationships between ore-controlling factors and known deposits to inform the model.
AI summaryTrains machine-learning models on zircon chemistry to distinguish tectonic settings and magma types, then applies them to Hadean zircons from Jack Hills. The results provide clues to early crust formation and subduction-related sediment recycling.