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PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media 期刊论文
, 2020, 卷号: 138
作者:  Santos J.E.;  Xu D.;  Jo H.;  Landry C.J.;  Prodanović M.;  Pyrcz M.J.
收藏  |  浏览/下载：28/0  |  提交时间：2020/07/28
Binary images  Convolution  Deep learning  Deep neural networks  Flow fields  Flow of fluids  Forecasting  Learning systems  Mechanical permeability  Network architecture  Porous materials  Velocity  Disruptive technology  Fluid velocity field  Geometrical informations  Machine learning models  Orders of magnitude  Spatial relationships  Subsurface formations  Surrogate model  Convolutional neural networks  artificial neural network  digital image  flow modeling  fluid flow  permeability  porous medium  prediction  rock mechanics  surrogate method  three-dimensional modeling  
Snow depth reconstruction over last century: Trend and distribution in the Tianshan Mountains, China 期刊论文
GLOBAL AND PLANETARY CHANGE, 2019, 卷号: 173, 页码: 73-82
作者:  Li, Qian;  Yang, Tao;  Zhang, Feiyun;  Qi, Zhiming;  Li, Lanhai
收藏  |  浏览/下载：58/0  |  提交时间：2019/10/08
Historical snow depth reconstruction  Tianshan Mountains  Artificial neural networks method  Reanalysis data  Climate change