Application of machine learning methods for estimating and comparing the sulfur dioxide absorption capacity of a variety of deep eutectic solvents
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Title
Application of machine learning methods for estimating and comparing the sulfur dioxide absorption capacity of a variety of deep eutectic solvents
Authors
Keywords
Sulfur dioxide absorption, Deep eutectic solvents, Machine learning, Comparative study, Screening the DES
Journal
Journal of Cleaner Production
Volume -, Issue -, Pages 132465
Publisher
Elsevier BV
Online
2022-06-03
DOI
10.1016/j.jclepro.2022.132465
References
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