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

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Attention network forecasts time-to-failure in laboratory shear experiments

Auteurs: Jaspereson, H., Bolton, D. C., Johnson, P. A., Guyer, R., Marone, C. and M. V. de Hoop
Publié dans: J. Geophys. Res. Solid Earth, Numéro 126, 2021, ISSN 2156-2202
Éditeur: American Geophysical Union
DOI: 10.1029/2021jb022195

Post-Seismic Deformation Related to the 2016 Central Italy Seismic Sequence From GPS Displacement Time-Series

Auteurs: E. Mandler; Francesco Pintori; Adriano Gualandi; Letizia Anderlini; Enrico Serpelloni; Maria Elina Belardinelli
Publié dans: AGU Solid Earth, Numéro 1, 2021, ISSN 2169-9356
Éditeur: AGU
DOI: 10.1029/2021jb022200

Frictional controls on the seismogenic zone: insights from the Apenninic basement, Central Italy

Auteurs: 4. Volpe, G., Pozzi, G., Carminati, E. Barchi, M. R., Scuderi, M. M., Tinti, E., Aldega, L., Marone, C. and C. Collettini
Publié dans: Earth and Plan. Sci. Lett, Numéro 583, 2022, ISSN 0012-821X
Éditeur: Elsevier BV
DOI: 10.1016/j.epsl.2022.117444

Frictional and lithological controls on shallow slow slip at the northern hikurangi margin

Auteurs: Shreedharan, S., Ikari, M., Wood, C., Saffer, D., Wallace L. and C. Marone
Publié dans: Geochem. Geophys. Geosyst, 2022, ISSN 1525-2027
Éditeur: Geochemical Society
DOI: 10.1029/2021gc0101072022

Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress

Auteurs: Laurenti, L., Tinti, E., Galasso, F., Franco, L., and C. Marone
Publié dans: EPSL, 2022, ISSN 0012-821X
Éditeur: Elsevier BV
DOI: 10.1016/j.epsl.2022.117825

Deterministic and stochastic chaos characterise laboratory earthquakes

Auteurs: Gualandi, A.; Faranda, D.; Marone, C.; Cocco, M.; Mengaldo, G.
Publié dans: EPSL, Numéro 1, 2023, ISSN 0012-821X
Éditeur: Elsevier BV
DOI: 10.1016/j.epsl.2023.117995

Frequency-Magnitude Statistics of Laboratory Foreshocks Vary With Shear Velocity, Fault Slip Rate, and Shear Stress

Auteurs: David C. Bolton, Srisharan Shreedharan, Jacques Rivière, and Chris Marone
Publié dans: Journal of Geophysical Research: Solid Earth, 126, e2021JB022175., Numéro 126, 2021, ISSN 2156-2202
Éditeur: AGU Wiley
DOI: 10.1029/2021jb022175

Competition between preslip and deviatoric stress modulates precursors for laboratory earthquakes

Auteurs: Srisharan Shreedharan, David Chas Bolton, Jacques Rivière, Chris Marone
Publié dans: Earth and Planetary Science Letters, Numéro 553, 2021, Page(s) 116623, ISSN 0012-821X
Éditeur: Elsevier BV
DOI: 10.1016/j.epsl.2020.116623

Acoustic Energy Release During the Laboratory Seismic Cycle: Insights on Laboratory Earthquake Precursors and Prediction

Auteurs: David C. Bolton, Srisharan Shreedharan, Jacques Rivière, Chris Marone
Publié dans: Journal of Geophysical Research: Solid Earth, Numéro 125/8, 2020, Page(s) 1-17, ISSN 2169-9313
Éditeur: AGU
DOI: 10.1029/2019jb018975

Machine Learning Predicts the Timing and Shear Stress Evolution of Lab Earthquakes Using Active Seismic Monitoring of Fault Zone Processes

Auteurs: Srisharan Shreedharan, David Chas Bolton, Jacques Rivière, Chris Marone
Publié dans: Journal of Geophysical Research: Solid Earth, Numéro 126/7, 2021, Page(s) 1-18, ISSN 2169-9313
Éditeur: AGU
DOI: 10.1029/2020jb021588

The high-frequency signature of slow and fast laboratory earthquakes

Auteurs: Bolton, D. C., Shreedharan, S., McLaskey, G. C., Rivière, J., Shokouhi, P., Trugman, D. T. and C. Marone
Publié dans: J. Geophys. Res. Solid Earth, Numéro 127, 2022, ISSN 2169-9356
Éditeur: AGU
DOI: 10.1029/2022jb024170

The role of fabric in frictional properties of phyllosilicate-rich tectonic faults

Auteurs: Collettini, C., Tesei, T., Trippetta, F., Scuderi, M. M., Richardson, E., Marone, C., Pozzi, G and C. Viti
Publié dans: J. of Visualized Exps, Numéro JoVE62821R3, 2021, ISSN 1940-087X
Éditeur: MYJoVE Corporation
DOI: 10.3791/62821-v

Frictional Behavior Downdip Along the Subduction Megathrust: Insights From Laboratory Experiments on Exhumed Samples at In Situ Conditions

Auteurs: S. A. M. den Hartog; C. Marone; D. M. Saffer
Publié dans: Crossref, Numéro 2, 2023, ISSN 2169-9356
Éditeur: AGU
DOI: 10.1029/2022jb024435

Creep fronts and complexity in laboratory earthquake sequences illuminate delayed earthquake triggering

Auteurs: Cebry, S. B. L., Ke, C. Y., Shreedharan, S., Marone, C., Kammer, D. S., and G. C. McLaskey,
Publié dans: Nat. Comm, 2022, ISSN 2041-1723
Éditeur: Nature Publishing Group
DOI: 10.1038/s41467-022-34397-0

Deep Learning Can Predict Laboratory Quakes From Active Source Seismic Data

Auteurs: Parisa Shokouhi, Vrushali Girkar, Jacques Rivière, Srisharan Shreedharan, Chris Marone, C. Lee Giles, Daniel Kifer
Publié dans: Geophysical Research Letters, Numéro 48/12, 2021, Page(s) 1-12, ISSN 0094-8276
Éditeur: American Geophysical Union
DOI: 10.1029/2021gl093187

Deciphering aseismic deformation along submarine fault branches below the eastern Sea of Marmara (Turkey): Insights from seismicity, strainmeter, and GNSS data

Auteurs: V. Durand; A. Gualandi; S. Ergintav; G. Kwiatek; M. Haghshenas; M. Motagh; G. Dresen; P. Martínez-Garzón
Publié dans: Earth and Planetary Science Letters, Numéro 1, 2022, ISSN 0012-821X
Éditeur: Elsevier BV
DOI: 10.1016/j.epsl.2022.117702

Laboratory earthquake forecasting: a machine learning competition

Auteurs: Johnson, P.A., Rouet-Leduc, B., Pyrak-Nolte, L.J., Berozac, G.C., Marone, C., Hulbert, C., Howard, A., Singer, P., Gordeev, D., Karaflos, D., Levinsong, C.J., Pfeiffer, P., Puk, K. M, and W. Reade
Publié dans: Proc. Natl. Acad. Sci, Numéro 118, 2021, ISSN 0027-8424
Éditeur: National Academy of Sciences
DOI: 10.1073/pnas.2011362118

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