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Bertrand Rouet-Leduc
Bertrand Rouet-Leduc
Assistant Professor, Kyoto University - Co-founder, Geolabe
Zweryfikowany adres z kyoto-u.ac.jp - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Machine Learning Predicts Laboratory Earthquakes
B Rouet-Leduc, C Hulbert, N Lubbers, K Barros, C Humphreys, ...
Geophysical Research Letters, 2017
4482017
Similarity of fast and slow earthquakes illuminated by machine learning
C Hulbert, B Rouet-Leduc, CX Ren, J Riviere, DC Bolton, C Marone, ...
Nature Geoscience, 2018
1692018
Continuous chatter of the Cascadia subduction zone revealed by machine learning
B Rouet-Leduc, C Hulbert, PA Johnson
Nature Geoscience, 2018
1302018
Estimating Fault Friction From Seismic Signals in the Laboratory
B Rouet-Leduc, C Hulbert, DC Bolton, CX Ren, J Riviere, C Marone, ...
Geophysical Research Letters, 2018
942018
Laboratory earthquake forecasting: A machine learning competition
PA Johnson, B Rouet-Leduc, LJ Pyrak-Nolte, GC Beroza, CJ Marone, ...
Proceedings of the national academy of sciences 118 (5), e2011362118, 2021
922021
Autonomous Extraction of Millimeter-scale Deformation in InSAR Time Series Using Deep Learning
B Rouet-Leduc, R Jolivet, M Dalaison, PA Johnson, C Hulbert
Nature Communications 12, 2021
772021
Probing slow earthquakes with deep learning
B Rouet‐Leduc, C Hulbert, IW McBrearty, PA Johnson
Geophysical research letters 47 (4), e2019GL085870, 2020
612020
Machine learning reveals the seismic signature of eruptive behavior at Piton de la Fournaise volcano
CX Ren, A Peltier, V Ferrazzini, B Rouet‐Leduc, PA Johnson, F Brenguier
Geophysical Research Letters 47 (3), e2019GL085523, 2020
562020
Characterizing acoustic signals and searching for precursors during the laboratory seismic cycle using unsupervised machine learning
DC Bolton, P Shokouhi, B Rouet‐Leduc, C Hulbert, J Rivière, C Marone, ...
Seismological Research Letters 90 (3), 1088-1098, 2019
552019
Optimisation of GaN LEDs and the reduction of efficiency droop using active machine learning
B Rouet-Leduc, K Barros, T Lookman, CJ Humphreys
Scientific Reports 6, 24862, 2016
532016
Machine learning reveals the state of intermittent frictional dynamics in a sheared granular fault
CX Ren, O Dorostkar, B Rouet‐Leduc, C Hulbert, D Strebel, RA Guyer, ...
Geophysical Research Letters 46 (13), 7395-7403, 2019
432019
Nanocathodoluminescence reveals mitigation of the stark shift in InGaN quantum wells by Si doping
JT Griffiths, S Zhang, B Rouet-Leduc, WY Fu, A Bao, D Zhu, DJ Wallis, ...
Nano letters 15 (11), 7639-7643, 2015
402015
Machine learning and fault rupture: a review
CX Ren, C Hulbert, PA Johnson, B Rouet-Leduc
Advances in Geophysics 61, 57-107, 2020
362020
An exponential build-up in seismic energy suggests a months-long nucleation of slow slip in Cascadia
C Hulbert, B Rouet-Leduc, R Jolivet, PA Johnson
Nature Communications 11 (1), 4139, 2020
352020
Instantaneous tracking of earthquake growth with elastogravity signals
A Licciardi, Q Bletery, B Rouet-Leduc, JP Ampuero, K Juhel
Nature 606 (7913), 319-324, 2022
302022
Distributed database kriging for adaptive sampling (D2KAS)
D Roehm, RS Pavel, K Barros, B Rouet-Leduc, AL McPherson, ...
Computer Physics Communications 192, 138-147, 2015
292015
Spatial adaptive sampling in multiscale simulation
B Rouet-Leduc, K Barros, E Cieren, V Elango, C Junghans, T Lookman, ...
Computer Physics Communications 185 (7), 1857-1864, 2014
282014
Automatized convergence of optoelectronic simulations using active machine learning
B Rouet-Leduc, C Hulbert, K Barros, T Lookman, CJ Humphreys
Applied Physics Letters 111 (4), 2017
162017
Analysis of defect-related inhomogeneous electroluminescence in InGaN/GaN QW LEDs
CX Ren, B Rouet-Leduc, JT Griffiths, E Bohacek, MJ Wallace, ...
Superlattices and Microstructures 99, 118-124, 2016
152016
Subsurface stress criticality associated with fluid injection and determined using machine learning
PA Johnson, CL Hulbert, B Rouet-Leduc
US Patent 11,341,410, 2022
132022
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