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A generalized machine learning framework to predict the space-time yield of methanol from thermocatalytic CO2 hydrogenation
Author(s):
Manu Suvarna
,
Thaylan Pinheiro Araújo
,
Javier Pérez-Ramírez
Publication date
Created:
October 2022
Publication date
(Print):
October 2022
Journal:
Applied Catalysis B: Environmental
Publisher:
Elsevier BV
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55
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Sustainable Conversion of Carbon Dioxide: An Integrated Review of Catalysis and Life Cycle Assessment
Jens Artz
,
Thomas E. Müller
,
Katharina M. Thenert
…
(2018)
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Recent Advances in Carbon Dioxide Hydrogenation to Methanol via Heterogeneous Catalysis
Xiao Yu Jiang
,
Xiaowa Nie
,
Xinwen Guo
…
(2020)
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A highly selective and stable ZnO-ZrO2 solid solution catalyst for CO2 hydrogenation to methanol
Jijie Wang
,
Guanna Li
,
Zelong Li
…
(2017)
Reduction of CO2 to methanol using renewable hydrogen is a promising but challenging strategy for carbon capture and utilization.
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Author and article information
Journal
Title:
Applied Catalysis B: Environmental
Abbreviated Title:
Applied Catalysis B: Environmental
Publisher:
Elsevier BV
ISSN (Print):
09263373
Publication date Created:
October 2022
Publication date (Print):
October 2022
Volume
: 315
Page
: 121530
Article
DOI:
10.1016/j.apcatb.2022.121530
SO-VID:
a4e4d8b8-d6e9-487a-8a49-a4e8b04480c2
Copyright ©
© 2022
License:
https://www.elsevier.com/tdm/userlicense/1.0/
http://creativecommons.org/licenses/by-nc-nd/4.0/
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