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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 |