Work

Predictions of the Optical Properties of Brown Carbon Aerosol by Machine Learning with Typical Chromophores

Year: 2024

Type: article

Source: Environmental Science & Technology

DOI: 10.1021/acs.est.4c09031

Authors: Ying Wang, Ru-Jin Huang, Haobin Zhong, Ting Wang, Lu Yang, Wei Yuan, Wei Xu, Zhisheng An

Institutions: Chinese Academy of Sciences, Beijing Normal University, Institute of Earth Environment, State Key Laboratory of Earth Surface Processes and Resource Ecology, University of Chinese Academy of Sciences, Xi'an Jiaotong University, Jiaxing Nanhu University, Institute of Urban Environment

Language: English

Topic: Atmospheric chemistry and aerosols

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, Natural Science Basic Research Program of Shaanxi Province

Awards: G3187080897, G3535806154, G4305404819, G4326816878, G7400707613

OpenAlex ID: W4404127591

FWCI: 5.764

Cites: 62

Cited by: 31

Related to: 10