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Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems With a Kalman-Inspired Proposal Distribution 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (3)
作者:  Zhang, Jiangjiang;  Vrugt, Jasper A.;  Shi, Xiaoqing;  Lin, Guang;  Wu, Laosheng;  Zeng, Lingzao
收藏  |  浏览/下载：10/0  |  提交时间：2020/07/02
Deep Autoregressive Neural Networks for High-Dimensional Inverse Problems in Groundwater Contaminant Source Identification 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (5) : 3856-3881
作者:  Mo, Shaoxing;  Zabaras, Nicholas;  Shi, Xiaoqing;  Wu, Jichun
收藏  |  浏览/下载：10/0  |  提交时间：2019/11/26
Deep Convolutional Encoder-Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (1) : 703-728
作者:  Mo, Shaoxing;  Zhu, Yinhao;  Zabaras, Nicholas;  Shi, Xiaoqing;  Wu, Jichun
收藏  |  浏览/下载：10/0  |  提交时间：2019/04/09
multiphase flow  geological carbon storage  uncertainty quantification  deep neural networks  high dimensionality  response discontinuity  
A Taylor Expansion-Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (12)
作者:  Mo, Shaoxing;  Lu, Dan;  Shi, Xiaoqing;  Zhang, Guannan;  Ye, Ming;  Wu, Jianfeng;  Wu, Jichun
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09