Interpretable Machine‐Learning and Big Data Mining to Predict the CO2 Separation in Polymer‐MOF Mixed Matrix Membranes

Interpretable Machine‐Learning and Big Data Mining to Predict the CO2 Separation in Polymer‐MOF Mixed Matrix Membranes

Abstract Mixed matrix membranes (MMMs) are renowned for their exceptional gas separation capabilities. In this work, high‐throughput computing screening and machine learning are employed to evaluate the CO2 separation performance of 54117 MMMs composed of 9 polymers and 6013 metal–organic frameworks...

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Bibliographic Details
Main Authors: Hao Wan, Yue Fang, Min Hu, Shuya Guo, Zhiqiang Sui, Xiaoshan Huang, Zili Liu, Yue Zhao, Hong Liang, Yufang Wu, Hanyu Gao, Zhiwei Qiao
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Advanced Science
Subjects:
CO2 separation
machine learning
Mixed matrix membranes
molecular simulation
transfer learning
Online Access:https://doi.org/10.1002/advs.202405905
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https://doi.org/10.1002/advs.202405905

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