Explore machine learning for seismic monitoring, geophysical inversion and solid-Earth processes.
These questions guide critical reading; they are not claims about every paper listed below.
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.
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.