Using sparse data to predict lab quakes
A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. The research …
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A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. The research …
Researchers at Los Alamos National Laboratory are applying machine learning algorithms to help interpret massive amounts of ground deformation data collected with Interferometric Synthetic Aperture Radar (InSAR) satellites; the new …
While the automated monitoring system currently in place for detecting and processing earthquakes in Yellowstone works quite well most of the time, its solutions need to be reviewed and refined …
Homes and offices are only as solid as the ground beneath them. When that solid ground turns to liquid — as sometimes happens during earthquakes — it can topple buildings …
Kai Vetter, a UC Berkeley nuclear engineering professor and head of the Applied Nuclear Physics program at Lawrence Berkeley National Laboratory (Berkeley Lab), recalled the rush of reporters as he …