Revealing the non-covalent interactions existing between CO2 and succinimide-based ionic liquid: A DFT exploration

Deepan Kumar, Madhu; Jaccob, Madhavan

doi:10.1016/j.molliq.2024.124325

Journal of Molecular Liquids

2024

DOI: 10.1016/j.molliq.2024.124325

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Revealing the non-covalent interactions existing between CO2 and succinimide-based ionic liquid: A DFT exploration

Madhu Deepan Kumar,

Madhavan Jaccob

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Cited by 2 publications

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Artificial intelligence and machine learning for analysis of CO<sub>2</sub> capture by ionic liquids

Zhang,

Tian,

et al. 2024

Chin. Sci. Bull.

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Artificial intelligence and machine learning for analysis of CO<sub>2</sub> capture by ionic liquids

Zhang,

Tian,

et al. 2024

Chin. Sci. Bull.

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Using Ionic Liquids to Improve CO2 Capture

Alguacil,

Robla

2024

Molecules

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Most of our energy consumption proceeds from the use of fossil fuels and the production of natural gas. However, the presence of impurities in this gas, like CO2, makes treatment necessary to avoid further concerns, such as greenhouse gas emissions, the corrosion of industrial equipment, etc.; thus, the development of CO2 capture and storage procedures is of the utmost importance in order to decrease CO2 production and mitigate its contribution to global warming. Among the CO2 capture processes available, three separation technologies are being used to achieve this goal: absorption, adsorption and membranes. To overcome some limitations of these methodologies, the joint use of these technologies with ionic liquids is gaining interest. The present work reviewed the most recent developments (for 2024) in CO2 capture using ionic liquids coupled to absorption-, adsorption- or membrane-based processes.

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Revealing the non-covalent interactions existing between CO2 and succinimide-based ionic liquid: A DFT exploration

Cited by 2 publications

References 34 publications

Artificial intelligence and machine learning for analysis of CO<sub>2</sub> capture by ionic liquids

Artificial intelligence and machine learning for analysis of CO<sub>2</sub> capture by ionic liquids

Using Ionic Liquids to Improve CO2 Capture

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Revealing the non-covalent interactions existing between CO2 and succinimide-based ionic liquid: A DFT exploration

Cited by 2 publications

References 34 publications

Artificial intelligence and machine learning for analysis of CO&lt;sub&gt;2&lt;/sub&gt; capture by ionic liquids

Artificial intelligence and machine learning for analysis of CO&lt;sub&gt;2&lt;/sub&gt; capture by ionic liquids

Using Ionic Liquids to Improve CO2 Capture

Contact Info

Product

Resources

About

Artificial intelligence and machine learning for analysis of CO<sub>2</sub> capture by ionic liquids

Artificial intelligence and machine learning for analysis of CO<sub>2</sub> capture by ionic liquids