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Updated: Sep 10, 2025

From Molecules to Materials: Engineering New Ionic Liquid Crystals Through Halogen Bonding
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设计空间探索和机器学习预测用于制冷剂分离的离子液体中的化碳可溶性

Ashfaq Iftakher1, M M Faruque Hasan1,2

  • 1Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843-3122, United States.

Journal of chemical information and modeling
|August 25, 2025
PubMed
概括

离子液 (ILs) 提供可调节的特性,用于分离R-410A等化碳混合物. 这项研究通过计算选了超过341,000个IL,确定了新型溶剂,并开发了用于高效分离制冷剂的机器学习模型.

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