中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共2条，第1-2条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Physics-Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Tartakovsky, A. M.;  Marrero, C. Ortiz;  Perdikaris, Paris;  Tartakovsky, G. D.;  Barajas-Solano, D.
收藏  |  浏览/下载：12/0  |  提交时间：2020/07/02
deep neural networks  physics-informed machine learning  parameter estimation  learning constitutive relationships  unsaturated flow  MAP  
Influence of vessel characteristics and atmospheric processes on the gas and particle phase of ship emission plumes: in situ measurements in the Mediterranean Sea and around the Arabian Peninsula 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (8) : 4713-4734
作者:  Celik, Siddika;  Drewnick, Frank;  Fachinger, Friederike;  Brooks, James;  Darbyshire, Eoghan;  Coe, Hugh;  Paris, Jean-Daniel;  Eger, Philipp G.;  Schuladen, Jan;  Tadic, Ivan;  Friedrich, Nils;  Dienhart, Dirk;  Hottmann, Bettina;  Fischer, Horst;  Crowley, John N.;  Harder, Hartwig;  Borrmann, Stephan
收藏  |  浏览/下载：11/0  |  提交时间：2020/07/02