Computational simulation using machine learning models in prediction of CO2 absorption in environmental applications-Reference-Cited by-同舟云学术

Computational simulation using machine learning models in prediction of CO2 absorption in environmental applications

Published:2022-07 Issue: Volume:358 Page:119159
ISSN:0167-7322
Container-title:Journal of Molecular Liquids
language:en
Short-container-title:Journal of Molecular Liquids

Author:

Jin Hulin,Andalib Vahid,Yasin Ghulam,Bokov Dmitry Olegovich,Kamal Mehnaz,Alashwal May,Ghazali Sami,Algarni Mohammed,Mamdouh Amr

Funder

Prince Sattam bin Abdulaziz University

Deanship of Scientific Research, King Saud University

Publisher

Elsevier BV

Subject

Materials Chemistry,Physical and Theoretical Chemistry,Spectroscopy,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference88 articles.

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5. H. Shamsin Beyranvand, M. Mirzaei Ghaleh Ghobadi, H. Sarlak, Experimental Study of Carbon Dioxide Absorption in Diethyl Ethanolamine (DEEA) in the Presence of Titanium Dioxide (TiO2), Progr. Chem. Biochem. Res. 3(1) (2020) 55–63.

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