Machine learning models coupled with ionic fragment σ-profiles to predict ammonia solubility in ionic liquids

Machine learning models coupled with ionic fragment σ-profiles to predict ammonia solubility in ionic liquids

Emitting NH3 into the atmosphere leads to significant air pollution, while NH3 itself serves as an essential component for fertilizers and refrigerants in industry. Thus, recovering and reusing NH3 is highly valuable. Ionic liquids (ILs) have shown great potential for NH3 capture, where the accurate...

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Bibliographic Details
Main Authors: Kaikai Li, Yuesong Zhu, Sensen Shi, Yongzheng Song, Haiyan Jiang, Xiaochun Zhang, Shaojuan Zeng, Xiangping Zhang
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2025-06-01
Series:Green Chemical Engineering
Subjects:
Ionic liquids
Ionic fragments contribution
NH3 solubility
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666952824000608
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