Integrating machine learning model and computer-aided molecular design toward 
rational ionic liquid selection for separating fluorinated refrigerants

Qin, Hao; Wang, Zihao; Ruan, Jiawei; Wei, Fanjing; Yuan, Zhiguo; Jiao, Weizhou; Qi, Guisheng; Liu, Youzhi

doi:10.1016/j.seppur.2024.129796

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Integrating machine learning model and computer-aided molecular design toward rational ionic liquid selection for separating fluorinated refrigerants

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Wang, Zihao
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Qin, H., Wang, Z., Ruan, J., Wei, F., Yuan, Z., Jiao, W., et al. (2025). Integrating machine learning model and computer-aided molecular design toward rational ionic liquid selection for separating fluorinated refrigerants. Separation and Purification Technology, 356(Part A): 129796. doi:10.1016/j.seppur.2024.129796.

Cite as: https://hdl.handle.net/21.11116/0000-000F-F959-5

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