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Physics-Informed Neural Networks for Elliptical-Anisotropy Eikonal Tomography: Application to Data From the Northeastern Tibetan Plateau 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2023, 卷号: 128, 期号: 12
作者:  Chen, Yunpeng;  de Ridder, Sjoerd A. L.;  Rost, Sebastian;  Guo, Zhen;  Wu, Xiaoyang;  Li, Shilin;  Chen, Yongshun
收藏  |  浏览/下载:3/0  |  提交时间:2024/03/01
elliptical-anisotropy eikonal tomography  anisotropy  physics informed neural network  deep learning  surface waves  Tibet  
Decarbonisation of Buildings-for Climate, Health and Jobs 科技报告
, 2021
作者:  [unavailable]
Adobe PDF(1898Kb)  |  收藏  |  浏览/下载:10/0  |  提交时间:2021/11/24
Future of Weather and Climate Forecasting 科技报告
, 2021
作者:  [unavailable]
Adobe PDF(5472Kb)  |  收藏  |  浏览/下载:11/0  |  提交时间:2021/11/24
Assessment of Technologies for Improving Light-Duty Vehicle Fuel Economy 2025-2035 科技报告
, 2021
作者:  [unavailable]
Adobe PDF(13922Kb)  |  收藏  |  浏览/下载:25/4  |  提交时间:2021/11/24
Q&A: Physical scientists turn to deep learning to improve Earth systems modeling 科技资讯
2020
收藏  |  浏览/下载:1/0  |  提交时间:2020/09/07
State of the Climate in 2019 科技报告
, 2020
作者:  [unavailable]
Adobe PDF(46553Kb)  |  收藏  |  浏览/下载:15/1  |  提交时间:2021/11/24
Assessment of Climate Change over the Indian Region 科技报告
, 2020
作者:  [unavailable]
Adobe PDF(24655Kb)  |  收藏  |  浏览/下载:14/1  |  提交时间:2021/11/24
Renewables 2020 Global Status Report 科技报告
, 2020
作者:  [unavailable]
Adobe PDF(14385Kb)  |  收藏  |  浏览/下载:12/0  |  提交时间:2021/11/24
Inventory of U.S. Greenhouse Gas Emissions and Sinks-1990-2018 科技报告
, 2020
作者:  [unavailable]
Adobe PDF(14023Kb)  |  收藏  |  浏览/下载:15/0  |  提交时间:2021/11/24
Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport 期刊论文
, 2020, 卷号: 141
作者:  He Q.;  Barajas-Solano D.;  Tartakovsky G.;  Tartakovsky A.M.
收藏  |  浏览/下载:88/0  |  提交时间:2020/07/28
Deep neural networks  Hydraulic conductivity  Learning systems  Porous materials  State estimation  Accuracy of parameters  Computational costs  Concentration fields  Concentration Measurement  Data assimilation  Governing equations  Parameter and state estimation  Subsurface transport  Parameter estimation  artificial neural network  data assimilation  hydraulic conductivity  hydraulic head  porous medium  subsurface flow  transport process