While deterministically predicting the time and location of earthquakes remains impossible,
earthquake forecasting models can provide estimates of the probabilities of earthquakes …

We investigate the evolution of the frequency-magnitude b-value during stable and unstable
frictional sliding experiments. Using a biaxial shear configuration, we record broadband …

We discuss data of three laboratory stick‐slip experiments on Westerly Granite samples
performed at elevated confining pressure and constant displacement rate on rough fracture …

Recent modeling studies have explored whether earthquakes begin with a large aseismic
nucleation process or initiate dynamically from the rapid growth of a smaller instability in a …

The formation of fault damage due to slip under high normal stresses can rarely be
monitored under in situ conditions. To advance our understanding of microfracture …

Abstract Machine learning can predict the timing and magnitude of laboratory earthquakes
using statistics of acoustic emissions. The evolution of acoustic energy is critical for lab …

Aftershock cascades are a characteristic feature of natural seismicity, but underlying
mechanisms remain debated. Here, we experimentally explore the presence or absence of …

Frictional instability such as fault slip rockburst, injection-induced earthquake and landslide
is frequently associated with the unstable sliding of pre-existing discontinuities. This study …

Recent work shows that machine learning (ML) can predict failure time and other aspects of
laboratory earthquakes using the acoustic signal emanating from the fault zone. These …

Earthquake source parameters such as seismic stress drop and corner frequency are
observed to vary widely, leading to persistent discussion on potential scaling of stress drop …