Inverse Design of Metal-Organic Frameworks for CH4/N2 Separation Enabled by Coupled Machine Learning and Genetic Algorithms

Wenxuan Li, Xiaonan Zhang, Hao Guo, Lingchuan Li, Lifeng Ding^*, Qingyuan Yang^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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@article{2315ebcecbd842db8596fb1b3c8a5fac,

title = "Inverse Design of Metal-Organic Frameworks for CH4/N2 Separation Enabled by Coupled Machine Learning and Genetic Algorithms",

author = "Wenxuan Li and Xiaonan Zhang and Hao Guo and Lingchuan Li and Lifeng Ding and Qingyuan Yang",

year = "2025",

month = sep,

day = "19",

doi = "10.1002/advs.202513146",

language = "English",

pages = "e13146",

journal = "Advanced Science",

publisher = "John Wiley \& Sons, Ltd",

}

TY - JOUR

T1 - Inverse Design of Metal-Organic Frameworks for CH4/N2 Separation Enabled by Coupled Machine Learning and Genetic Algorithms

AU - Li, Wenxuan

AU - Zhang, Xiaonan

AU - Guo, Hao

AU - Li, Lingchuan

AU - Ding, Lifeng

AU - Yang, Qingyuan

PY - 2025/9/19

Y1 - 2025/9/19

U2 - 10.1002/advs.202513146

DO - 10.1002/advs.202513146

M3 - Article

SP - e13146

JO - Advanced Science

JF - Advanced Science

ER -