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Exploring the Complexities of Dissolved Organic Matter Photochemistry from the Molecular Level by Using Machine Learning Approaches.
Zhao, Chen; Xu, Xinyue; Chen, Hongmei; Wang, Fengwen; Li, Penghui; He, Chen; Shi, Quan; Yi, Yuanbi; Li, Xiaomeng; Li, Siliang; He, Ding.
Afiliación
  • Zhao C; Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong 999077, China.
  • Xu X; Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China.
  • Chen H; State Key Laboratory for Marine Environmental Science, Institute of Marine Microbes and Ecospheres, College of Ocean and Earth Sciences, College of the Environment and Ecology, Xiamen University, Xiamen 361000, China.
  • Wang F; State Key Laboratory of Coal Mine Disaster Dynamics and Control, Department of Environmental Science, Chongqing University, Chongqing 400030, China.
  • Li P; School of Marine Sciences, Sun Yat-sen University, Zhuhai 519082, China.
  • He C; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China.
  • Shi Q; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Zhuhai 519082, China.
  • Yi Y; State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Changping District, Beijing 102249, China.
  • Li X; State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Changping District, Beijing 102249, China.
  • Li S; Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong 999077, China.
  • He D; Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China.
Environ Sci Technol ; 57(46): 17889-17899, 2023 Nov 21.
Article en En | MEDLINE | ID: mdl-37248194
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Compuestos Orgánicos / Materia Orgánica Disuelta Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Sci Technol Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Compuestos Orgánicos / Materia Orgánica Disuelta Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Sci Technol Año: 2023 Tipo del documento: Article País de afiliación: China