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The physics of Earthquake faulting: learning from laboratory earthquake prediCTiON to Improve forecasts of the spectrum of tectoniC failure modes: TECTONIC

Project description

Improved quake recognition technology

Efforts to forecast earthquakes have been hampered for years by the lack of reliable science and technology. Intriguingly, recent advances showed that lab-engineered earthquakes can be predicted using machine learning (ML). The tremors are preceded by a cascade of micro-failure events that radiate elastic energy in a manner that foretells catastrophic failure. ML can thus predict the failure time, and in some cases, the magnitude of lab earthquakes. The EU-funded TECTONIC project will connect these results with field observations and ML to search for earthquake precursors and build predictive models for tectonic faulting. The project's multidisciplinary team aims to train the next generation of researchers in earthquake science and foster a new level of broad community collaboration.

Call for proposal

ERC-2018-ADG
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Host institution

UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Address
Piazzale Aldo Moro 5
00185 Roma
Italy
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 2 603 500

Beneficiaries (2)

UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Italy
EU contribution
€ 2 603 500
Address
Piazzale Aldo Moro 5
00185 Roma
Activity type
Higher or Secondary Education Establishments
ISTITUTO NAZIONALE DI GEOFISICA E VULCANOLOGIA
Italy
EU contribution
€ 856 250
Address
Via Di Vigna Murata 605
00143 Roma
Activity type
Research Organisations