Explainable machine learning for ground motion modeling: predictive dominance of energy-based measures in the Southern Turkey seismic sequence

Authors Jinzhou He

Authors Guoxiong Chen · Timothy Kusky · Lei Luo · Quanke Li · Qiuming Cheng

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.

Authors Hongyu Sun

AI summaryThe Quake Neural Operator jointly detects and locates seismic events through classification and regression without explicit phase picking, supporting monitoring across different station geometries.