Andrea Licciardi
9
Documents
Publications
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Instantaneous tracking of earthquake growth with elastogravity signalsNature, 2022, 606 (7913), pp.319-324. ⟨10.1038/s41586-022-04672-7⟩
Journal articles
hal-03780470v1
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Optimal resolution tomography with error tracking and the structure of the crust and upper mantle beneath Ireland and BritainGeophysical Journal International, 2021, 226 (3), pp.2158-2188. ⟨10.1093/gji/ggab169⟩
Journal articles
hal-03558400v1
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Moho depth of the British Isles: a probabilistic perspectiveGeophysical Journal International, 2020, 221 (2), pp.1384-1401. ⟨10.1093/gji/ggaa021⟩
Journal articles
insu-02506722v1
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Estimating uncertainties on net erosion from well‐log porosity dataBasin Research, 2020, 32 (1), pp.51-67. ⟨10.1111/bre.12366⟩
Journal articles
insu-02476846v1
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A Bayesian Approach for Thermal History Reconstruction in Basin ModelingJournal of Geophysical Research : Solid Earth, 2020, 125 (7), pp.e2020JB019384. ⟨10.1029/2020JB019384⟩
Journal articles
insu-02926818v1
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Instantaneous Tracking of Earthquake Growth Using Prompt Elasto-Gravity Signals and Deep LearningERC TECTONIC: Workshop on The physics of earthquake faulting: machine learning to illuminate earthquake precursors and predict laboratory earthquakes, Sep 2021, Rome, Italy
Conference poster
hal-03558255v1
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Extraction of Prompt Elasto-Gravity Signals (PEGS) for earthquake early warning through Deep LearningERC TECTONIC: Workshop on The physics of earthquake faulting: machine learning to illuminate earthquake precursors and predict laboratory earthquakes, Sep 2021, Rome, Italy
Conference poster
hal-03557727v1
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Instantaneous Tracking of Earthquake Growth Using Prompt Elasto- Gravity Signals and Deep LearningEarthquakes: Nucleation, Triggering and Relationships with Aseismic Processes, Sep 2021, Cargese, France
Conference poster
hal-03558268v1
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Uncertainties on amount of erosion from porosity well-log data European Geosciences Union General Assembly 2018, Apr 2018, Vienne, Austria. Geophysical Research Abstracts, 20, pp.EGU2018-13279, 2018
Conference poster
insu-01767710v1
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