Using Artificial Neural Network and Ideal Adsorbed Solution Theory for Predicting the CO2/CH4 Selectivities of Metal–Organic Frameworks: A Comparative Study-Reference-Cited by-同舟云学术

Using Artificial Neural Network and Ideal Adsorbed Solution Theory for Predicting the CO2/CH4 Selectivities of Metal–Organic Frameworks: A Comparative Study

Published:2017-12-01 Issue:49 Volume:56 Page:14610-14622
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Esfandiari Kourosh¹,Ghoreyshi Ali Asghar¹^ORCID,Jahanshahi Mohsen¹

Affiliation:

1. Chemical Engineering Department, Babol Noshirvani University of Technology, Shariati Street, Babol, Iran

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.7b03008

Reference66 articles.

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5. Progress in carbon dioxide separation and capture: A review

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