Work

Predicting CO2 uptake in porous liquids using machine learning: Implications for CO2 capture

Year: 2026

Type: article

Source: Separation and Purification Technology

DOI: 10.1016/j.seppur.2026.138794

Authors: Ilya Bayanov, Irina Spivakova, Peyman Pourafshary, Masoud Riazi, Shams Kalam

Institution: Nazarbayev University

Language: English

Topic: Carbon Dioxide Capture Technologies

Subfield: Filtration and Separation

Field: Chemical Engineering

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funder: Nazarbayev University

OpenAlex ID: W7163757241

FWCI: 0.979

Cites: 55

Cited by: 1

Related to: 10