GIG OpenIR

Browse/Search Results:  1-2 of 2 Help

Selected(0)Clear Items/Page:    Sort:
Nitrogen-Containing Functional Groups Dominate the Molecular Absorption of Water-Soluble Humic-Like Substances in Air From Nanjing, China Revealed by the Machine Learning Combined FT-ICR-MS Technique 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2023, 卷号: 128, 期号: 24, 页码: 12
Authors:  Hong, Yihang;  Zhang, Yan-Lin;  Bao, Mengying;  Fan, Mei-Yi;  Lin, Yu-Chi;  Xu, Rongshuang;  Shu, Zhiyang;  Wu, Ji-Yan;  Cao, Fang;  Jiang, Hongxing;  Cheng, Zhineng;  Li, Jun;  Zhang, Gan
Favorite  |  View/Download:0/0  |  Submit date:2024/09/10
machine learning  few-shot learning  humic-like substances  light absorption coefficient  FT-ICR-MS  functional groups  
Impact of fossil and non-fossil fuel sources on the molecular compositions of water-soluble humic-like substances in PM2.5 at a suburban site of Yangtze River Delta, China 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2023, 卷号: 23, 期号: 14, 页码: 8305-8324
Authors:  Bao, Mengying;  Zhang, Yan-Lin;  Cao, Fang;  Hong, Yihang;  Lin, Yu-Chi;  Yu, Mingyuan;  Jiang, Hongxing;  Cheng, Zhineng;  Xu, Rongshuang;  Yang, Xiaoying
Favorite  |  View/Download:10/0  |  Submit date:2024/08/23