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Recent advances in earthquake seismology using machine learning
Given the recent developments in machine-learning technology, its application has rapidly
progressed in various fields of earthquake seismology, achieving great success. Here, we …
progressed in various fields of earthquake seismology, achieving great success. Here, we …
Physics informed neural network can retrieve rate and state friction parameters from acoustic monitoring of laboratory stick-slip experiments
Various machine learning (ML) and deep learning (DL) techniques have been recently
applied to the forecasting of laboratory earthquakes from friction experiments. The …
applied to the forecasting of laboratory earthquakes from friction experiments. The …
Laboratory shear behavior of tensile-and shear-induced fractures in sandstone: insights from acoustic emission
The distinction between the shear behavior of tensile-and shear-induced fractures is critical
to understanding the deformation and failure of geologic discontinuities at different scales …
to understanding the deformation and failure of geologic discontinuities at different scales …