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MOF-GRU: A MOFid-Aided Deep Learning Model for Predicting the Gas Separation Performance of Metal-Organic Frameworks.
Li, Wenxuan; Situ, Yizhen; Ding, Lifeng; Chen, Yanling; Yang, Qingyuan.
Affiliation
  • Li W; State Key Laboratory of Organic-Inorganic Composites, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
  • Situ Y; State Key Laboratory of Organic-Inorganic Composites, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
  • Ding L; Department of Chemistry, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou 215123, Jiangsu, China.
  • Chen Y; State Key Laboratory of Organic-Inorganic Composites, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
  • Yang Q; State Key Laboratory of Organic-Inorganic Composites, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
ACS Appl Mater Interfaces ; 15(51): 59887-59894, 2023 Dec 27.
Article in En | MEDLINE | ID: mdl-38087435
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ACS Appl Mater Interfaces Journal subject: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Year: 2023 Document type: Article Affiliation country: China
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ACS Appl Mater Interfaces Journal subject: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Year: 2023 Document type: Article Affiliation country: China