Based on machine learning model for prediction of CO2 adsorption of synthetic zeolite in two-step solid waste treatment-Reference-Cited by-同舟云学术

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Based on machine learning model for prediction of CO2 adsorption of synthetic zeolite in two-step solid waste treatment

Published:2024-02 Issue:2 Volume:17 Page:105507
ISSN:1878-5352
Container-title:Arabian Journal of Chemistry
language:en
Short-container-title:Arabian Journal of Chemistry

Author:

Wu Haibin,Wang XiaoJing,Wang Xin,Su Wei

Funder

National Key Research and Development Program of China

Tianjin University

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference70 articles.

1. A review on application of activated carbons for carbon dioxide capture: present performance, preparation, and surface modification for further improvement;Abd;Environ. Sci. Pollut. Res.,2021

2. Predicting the hydrogen uptake ability of a wide range of zeolites utilizing supervised machine learning methods;Alizadeh;Int. J. Hydrogen Energy,2022

3. ALOthman, Z. A. and M. Shahid, 2022. Recent advances in removal of toxic elements from water using MOFs: A critical review. Arabian Journal of Chemistry. 104319.

4. Process optimization for enhanced carbon capture and cyclic stability using adsorbents derived from coal fly ash;Aniruddha;Environ. Sci. Pollut. Res.,2021

5. Conventional versus alkali fusion synthesis of zeolite A from low grade kaolin;Ayele;Appl. Clay Sci.,2016

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