Machine Learning Based Catalyst Modelling for Direct Conversion of Co2 to Lower Olefins-Reference-Cited by-同舟云学术

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Machine Learning Based Catalyst Modelling for Direct Conversion of Co2 to Lower Olefins

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Gujral Manleen Kaur,Kamesh Reddi,Roy Anirban

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference72 articles.

1. Manganese-Promoted Fe3O4 Microsphere for Efficient Conversion of CO2 to Light Olefins;J Jiang;Ind. Eng. Chem. Res,2020

2. Boosting light olefin selectivity in CO2 hydrogenation by adding Co to Fe catalysts within close proximity;F Yuan;Catal. Today,2020

3. CO2 hydrogenation to light olefins over Cu-CeO2/SAPO-34 catalysts: Product distribution and optimization;M Sedighi;J. CO2 Util,2020

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