| Forecasting surface velocity fields associated with laboratory seismic cycles using Deep Learning G Mastella, F Corbi, J Bedford, F Funiciello, M Rosenau Geophysical Research Letters 49 (15), e2022GL099632, 2022 | 7 | 2022 |
| Foamquake: A Novel Analog Model Mimicking Megathrust Seismic Cycles G Mastella, F Corbi, F Funiciello, M Rosenau Journal of Geophysical Research: Solid Earth 127 (3), e2021JB022789, 2022 | 4 | 2022 |
| Particle image correlation data from foamquake: A novel seismotectonic analog model mimicking the megathrust seismic cycle G Mastella, F Corbi, F Funiciello, M Rosenau GFZ Data Services, 2021 | 3 | 2021 |
| Properties of rock analogue materials used for foamquake: A novel seismotectonic analog model mimicking the megathrust seismic cycle at RomaTre university (Italy) G Mastella, F Corbi, F Funiciello, M Rosenau, M Rudolf, E Kosari GFZ data Services, 2021 | 2 | 2021 |
| Estimating Lab-Quake Source Parameters: Spectral Inversion from a Calibrated Acoustic System F Pignalberi, G Mastella, C Giorgetti, MM Scuderi Sensors 24 (17), 5824, 2024 | 1 | 2024 |
| Separating seasonal oscillations from tectonic signals using advanced regression routines and denoised GNSS displacement time series J Bedford, G Mastella XXVIII General Assembly of the International Union of Geodesy and Geophysics …, 2023 | 1 | 2023 |
| Readapting PhaseNet to Laboratory Earthquakes: AEsNet, a Robust Acoustic Emission Picker Illuminating Seismic Signatures of Different Fault Gouge Materials G Mastella, F Pignalberi, G Poggiali, M Scuderi EarthArXiv, 2025 | | 2025 |
| Predictability and Nucleation of Laboratory Earthquakes: Insights from High Normal Stress Shear Experiments on Fault Gouges G Mastella, F Pignalberi, C Giorgetti, F Corbi, G Poggiali, N Casas, ... AGU24, 2024 | | 2024 |
| Denoising Daily Displacement GNSS-Time series using Deep Neural Networks In a Near Real-Time Framing: a Single-Station Method G Mastella, J Bedford, F Corbi, F Funciello EarthArXiv, 2024 | | 2024 |
| Exploring earthquake recurrence and nucleation processes with Foamquake and a variety of asperity configurations E Latypova, F Corbi, G Mastella, J Bedford, F Funiciello EGU24, 2024 | | 2024 |
| Double Direct Shear Experiments as an interacting two fault system: insights from laboratory seismic cycles on fault interaction G Mastella, F Pignalberi, C Giorgetti, M Scuderi EGU24, 2024 | | 2024 |
| The similarity between ruptures in scaled laboratory seismotectonic models and slow earthquakes F Corbi, G Mastella, E Tinti, A Gualandi, L Sandri, M Rosenau, S Pardo, ... EGU24, 2024 | | 2024 |
| Multiscale, multisensor analysis of scaled seismotectonic models: Bridging the Gap Between Laboratory and Nature through Machine Learning G Mastella, F Corbi, J Bedford, E Latypova, F Pignalberi, M Scuderi, ... EGU24, 2024 | | 2024 |
| Asperity size and neighboring segments can change the frictional response and fault slip behavior: Insights from laboratory experiments and numerical simulations F Corbi, G Mastella, E Tinti, M Rosenau, L Sandri, S Pardo, F Funiciello Journal of Geophysical Research: Solid Earth 129 (1), e2023JB026594, 2024 | | 2024 |
| A Deep-Neural-Network-Based Denoising Method For GNSS Displacement Time-Series G Mastella, J Bedford, F Corbi, F Funiciello EGU General Assembly Conference Abstracts, EGU-5560, 2023 | | 2023 |
| Forecasting earthquake rupture characteristics with deep learning: a proof of concept using analog laboratory foamquakes G Mastella, F Corbi, J Bedford, F Funiciello, M Rosenau EGU General Assembly Conference Abstracts, EGU22-2996, 2022 | | 2022 |
| Sharing data and facilities in the analogue modelling community: the EPOS Multi-Scale Laboratories Thematic Core Service F Funiciello, M Rosenau, S Dominguez, E Willingshofer, G ter Maat, ... EGU22, 2022 | | 2022 |
| Sharing experimental data and facilities in EPOS: Updates on services for the analogue modelling community in the TCS Multi-scale Laboratories E Willingshofer, F Funiciello, M Rosenau, G Schreurs, F Zwaan, S Buiter, ... EGU General Assembly Conference Abstracts, EGU21-16301, 2021 | | 2021 |
Fabio CorbiCNR - IGAGΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cnr.it
