Machine learning in microseismic monitoring D Anikiev, C Birnie, U bin Waheed, T Alkhalifah, C Gu, DJ Verschuur, ... Earth-Science Reviews 239, 104371, 2023 | 54 | 2023 |
The postspinel boundary in pyrolitic compositions determined in the laser‐heated diamond anvil cell Y Ye, C Gu, SH Shim, Y Meng, V Prakapenka Geophysical Research Letters 41 (11), 3833-3841, 2014 | 38 | 2014 |
Electronic structure of iron in magnesium silicate glasses at high pressure C Gu, K Catalli, B Grocholski, L Gao, E Alp, P Chow, Y Xiao, H Cynn, ... Geophysical Research Letters 39 (24), 2012 | 27 | 2012 |
Waveform-based Bayesian full moment tensor inversion and uncertainty determination for the induced seismicity in an oil/gas field C Gu, YM Marzouk, MN Toksöz Geophysical Journal International 212 (3), 1963-1985, 2018 | 24 | 2018 |
Complex rupture of the M6.3 2015 March 10 Bucaramanga earthquake: evidence of strong weakening process P Poli, GA Prieto, CQ Yu, M Florez, H Agurto-Detzel, TD Mikesell, G Chen, ... Geophysical Journal International 205 (2), 988-994, 2016 | 24 | 2016 |
Ground motion in Kuwait from regional and local earthquakes: Potential effects on tall buildings C Gu, GA Prieto, A Al-Enezi, F Al-Jeri, J Al-Qazweeni, H Kamal, S Kuleli, ... Pure and Applied Geophysics 175, 4183-4195, 2018 | 21 | 2018 |
Preliminary report on applications of machine learning techniques to the nevada geothermal play fairway analysis JE Faulds, S Brown, M Coolbaugh, J DeAngelo, JH Queen, S Treitel, ... 45th workshop on geothermal reservoir engineering, 229-34, 2020 | 20 | 2020 |
Source mechanism study of local earthquakes in Kuwait C Gu, F Al‐Jeri, A Al‐Enezi, O Büyüköztürk, MN Toksöz Seismological Research Letters 88 (6), 1465-1471, 2017 | 20 | 2017 |
Understanding temperature-induced primary nucleation in dual impinging jet mixers M Jiang, C Gu, RD Braatz Chemical Engineering and Processing: Process Intensification 97, 187-194, 2015 | 20 | 2015 |
Variations in Martian lithospheric strength based on gravity/topography analysis M Ding, J Lin, C Gu, Q Huang, MT Zuber Journal of Geophysical Research: Planets 124 (11), 3095-3118, 2019 | 14 | 2019 |
Characterizing signatures of geothermal exploration data with machine learning techniques: an application to the nevada play fairway analysis C Smith, J Faulds, S Brown, M Coolbaugh, C Lindsey, S Treitel, B Ayling, ... Proceedings, 46th Workshop on Geothermal Reservoir Engineering 218, 2021 | 13 | 2021 |
Machine learning for natural resource assessment: An application to the blind geothermal systems of Nevada S Brown, M Coolbaugh, J DeAngelo, J Faulds, M Fehler, C Gu, J Queen, ... Transactions-Geothermal Resources Council 44, 2020 | 12 | 2020 |
GPS measured response of a tall building due to a distant Mw 7.3 earthquake T Herring, C Gu, MN Toksöz, J Parol, A Al‐Enezi, F Al‐Jeri, ... Seismological Research Letters 90 (1), 149-159, 2019 | 10 | 2019 |
Analysis of focused indirect ultrasound via high-speed spatially localized pressure sensing and its consequences on nucleation M Jiang, C Gu, RD Braatz Chemical Engineering and Processing: Process Intensification 117, 186-194, 2017 | 10 | 2017 |
Bayesian waveform-based calibration of high-pressure acoustic emission systems with ball drop measurements C Gu, U Mok, YM Marzouk, GA Prieto, F Sheibani, JB Evans, BH Hager Geophysical Journal International 221 (1), 20-36, 2020 | 6 | 2020 |
Exploratory analysis of machine learning techniques in the Nevada geothermal play fairway analysis CM Smith, JE Faulds, S Brown, M Coolbaugh, J DeAngelo, JM Glen, ... Geothermics 111, 102693, 2023 | 4 | 2023 |
An Eshelby solution‐based finite‐element approach to heterogeneous fault‐zone modeling C Meng, C Gu, B Hager Seismological Research Letters 91 (1), 465-474, 2020 | 4 | 2020 |
Robust Bayesian moment tensor inversion with optimal transport misfits: layered medium approximations to the 3-D SEG-EAGE overthrust velocity model A Scarinci, U Waheed, C Gu, X Ren, BM Dia, S Kaka, M Fehler, ... Geophysical Journal International 234 (2), 1169-1190, 2023 | 3 | 2023 |
Bayesian neural networks for geothermal resource assessment: Prediction with uncertainty S Brown, WL Rodi, M Seracini, C Gu, M Fehler, J Faulds, CM Smith, ... arXiv preprint arXiv:2209.15543, 2022 | 3 | 2022 |
Bayesian deep learning and uncertainty quantification applied to induced seismicity locations in the Groningen gas field in the Netherlands: What do we need for safe AI? C Gu, YM Marzouk, MN Toksoz SEG International Exposition and Annual Meeting, D043S117R006, 2019 | 3 | 2019 |