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Revolutionizing Membrane Design Using Machine Learning-Bayesian Optimization.
Gao, Haiping; Zhong, Shifa; Zhang, Wenlong; Igou, Thomas; Berger, Eli; Reid, Elliot; Zhao, Yangying; Lambeth, Dylan; Gan, Lan; Afolabi, Moyosore A; Tong, Zhaohui; Lan, Guanghui; Chen, Yongsheng.
Afiliación
  • Gao H; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Zhong S; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Zhang W; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Igou T; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Berger E; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Reid E; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Zhao Y; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Lambeth D; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Gan L; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Afolabi MA; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Tong Z; School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Lan G; H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Chen Y; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Environ Sci Technol ; 56(4): 2572-2581, 2022 02 15.
Article en En | MEDLINE | ID: mdl-34968041
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Automático / Membranas Artificiales Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Sci Technol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Automático / Membranas Artificiales Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Sci Technol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos