Application of machine learning methods for estimating and comparing the sulfur dioxide absorption capacity of a variety of deep eutectic solvents

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

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started