Suresh Lab

Research focus

ERC Consolidator Grant · 2019

Predicting Energy Release in fault Systems: Integrating Simulations, Machine learning, Observations

Quantum leaps in observations have recently upended our classical view of earthquakes & tsunamis and have demonstrated that our understanding of these destructive natural events is not unified and still too limited to perform reliable predictions. Fortunately, catastrophic events remain relatively rare. Yet this scarcity also implies that their fine scale and long-term dynamics can only be studied in detail through numerical simulations. The goal of PERSISMO is to build a physics based Virtual Earthquake Simulator to make seismic and tsunami hazard estimates on fault networks. Indeed, the modern view emanating from observations is that fault networks continuously release stored energy over…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.