Tao-tao Zhang

A Hybrid Framework Combining Physical and Data‐Driven Models for Predicting the Timing of Fault Instability

Reliable prediction of earthquakes and rock mass failure has long been hampered by a fundamental trade‐off: achieving both a long warning window and high prediction accuracy. Physical models, such as the failure forecast method (FFM) based on the time‐reversed Omori law, can provide longer warning windows but are sen...