A machine learning technique based on group contributions to calculate the solubility of dye molecules in supercritical CO2
Author:
Publisher
Elsevier BV
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy,General Chemical Engineering
Reference69 articles.
1. Supercritical CO2-assisted dyeing and functionalization of polymeric materials: a review of recent advances (2015-2020);Goñi;J. CO2 Util.,2021
2. An ecofriendly dyeing of nylon and cotton fabrics in supercritical CO2 with novel tricyanopyrrolidone reactive disperse dye;Penthala;J. CO2 Util.,2022
3. A recyclable anhydrous cotton dyeing technology with low energy consumption and excellent dyeing effects by mixing supercritical carbon dioxide, ethanol, and dimethyl sulfoxide;Zhao;J. Clean. Prod.,2022
4. One-step supercritical CO2 color matching of polyester with dye mixtures;Gong;J. CO2 Util.,2021
5. Experimental optimization and mathematical modeling of the supercritical fluid extraction of essential oil from Eryngium billardieri: application of simulated annealing (SA) algorithm;Sodeifian;J. Supercrit. Fluids,2017
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