Insights into CO2 capture in porous carbons from machine learning, experiments and molecular simulation-Reference-Cited by-同舟云学术

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Insights into CO2 capture in porous carbons from machine learning, experiments and molecular simulation

Published:2023-02 Issue: Volume:306 Page:122521
ISSN:1383-5866
Container-title:Separation and Purification Technology
language:en
Short-container-title:Separation and Purification Technology

Author:

Ma Xiancheng,Xu Wenjun,Su Rongkui,Shao Lishu,Zeng Zheng,Li Liqing,Wang Hanqing

Funder

Central South University

Central South University of Forestry and Technology

Publisher

Elsevier BV

Subject

Filtration and Separation,Analytical Chemistry

Reference64 articles.

1. MOFs-based heterogeneous catalysts: new opportunities for energy-related CO2 conversion;Lei;Adv. Energy Mater.,2018

2. Photoelectrochemical conversion of carbon dioxide (CO2) into fuels and value-added products;Kumaravel;ACS Energy Lett.,2020

3. A cost-effective synthesis of heteroatom-doped porous carbon by sulfur-containing waste liquid treatment: as a promising adsorbent for CO2 capture;Guo;J. Environ. Chem. Eng.,2021

4. Current challenges in membrane separation of CO2 from natural gas: a review;Adewole;Int. J. Greenh. Gas Cont.,2013

5. Adsorption of natural gas and biogas components on activated carbon;Esteves;Sep. Purif. Technol.,2008

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