,

Usman L Abbas1, Yuxuan Zhang2, Joseph Tapia1

  • 1Department of Chemical and Materials Engineering, University of Kentucky, Lexington, KY 40506, USA.

Engineering (Beijing, China)
|September 26, 2024
PubMed
概括

通过机器学习,发现新型深层化溶剂 (DES) 变得更加容易. 这项研究确定了用于预测DES形成的关键键键特性,提高了这些多功能设计溶剂的发现效率.

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