Novel hybrid QSPR-GPR approach for modeling of carbon dioxide capture using deep eutectic solvents-Reference-Cited by-同舟云学术

Novel hybrid QSPR-GPR approach for modeling of carbon dioxide capture using deep eutectic solvents

Published:2023 Issue:43 Volume:13 Page:30071-30085
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Salahshoori Iman¹²³,Baghban Alireza⁴^ORCID,Yazdanbakhsh Amirhosein⁵

Affiliation:

1. Discipline of Chemical Engineering, School of Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South Africa

2. Department of Polymer Processing, Iran Polymer and Petrochemical Institute, P.O. Box 14965-115, Tehran, Iran

3. Department of Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

4. Department of Process Engineering, NISOC Company, Ahvaz, Iran

5. Research and Development Manager -Teb Plastic Company- Tehran, Tehran, Iran

Abstract

In recent years, deep eutectic solvents (DES) have garnered considerable attention for their potential in carbon capture and utilization processes.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/RA/D3RA05360A

Reference109 articles.

1. Insights into the morphology and gas separation characteristics of methylene diisocyanate (MDI)-functionalized nanoTiO2 polyurethane: quantum mechanics and molecular simulations studies

2. CO2, the greenhouse effect and global warming: from the pioneering work of Arrhenius and Callendar to today's Earth System Models

3. Elevated performance of the neat, hybrid and composite membranes by the addition of nanoparticles (ZIF-67): A molecular dynamics study

4. Strategies to achieve a carbon neutral society: a review

5. Methylene diisocyanate - aided tailoring of nanotitania for dispersion engineering through polyurethane mixed matrix membranes: Experimental investigations

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Navigating the molecular landscape of environmental science and heavy metal removal: A simulation-based approach;Journal of Molecular Liquids;2024-09

2. Graph neural networks for CO2 solubility predictions in Deep Eutectic Solvents;Computers & Chemical Engineering;2024-08

3. Stochastic machine learning via sigma profiles to build a digital chemical space;Proceedings of the National Academy of Sciences;2024-07-23

4. A comprehensive study on transport behaviour and physicochemical characteristics of PU/based 3-phase mixed matrix membranes: Effect of [HNMP][HSO4] ionic liquid and ZnO nanoparticles;Separation and Purification Technology;2024-05

5. Unveiling CO2 capture in tailorable green neoteric solvents: An ensemble learning approach informed by quantum chemistry;Journal of Environmental Management;2024-03