Machine learning in microseismic monitoring D Anikiev, C Birnie, U bin Waheed, T Alkhalifah, C Gu, DJ Verschuur, ...
Earth-Science Reviews 239, 104371, 2023
71 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
40 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
26 2018 Complex rupture of the M 6.3 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
25 2016 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
22 2020 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
22 2018 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
21 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
19 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 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
13 2020 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
12 2021 GPS Measured Response of a Tall Building due to a Distant T Herring, C Gu, M Nafi Toksöz, J Parol, A Al‐Enezi, F Al‐Jeri, ...
Seismological Research Letters 90 (1), 149-159, 2019
12 2019 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
9 2023 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
9 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 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