A data-science approach to predict the heat capacity of nanoporous materials
A data-science approach to predict the heat capacity of nanoporous materials
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Author / Creator
Ecole Polytechnique Federale Lausanne (EPFL) (Switzerland) , Moosavi, Seyed Mohamad , Novotny, Balázs Álmos , Ongari, Daniele , Moubarak, Elias , Asgari, Mehrdad , Kadioglu, Özge , Charalambous, Charithea , Ortega-Guerrero, Andres , Farmahini, Amir H. , Sarkisov, Lev , Garcia, Susana , Noé, Frank and Smit, Berend
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
The heat capacity of a material is a fundamental property of great practical importance. For example, in a carbon capture process, the heat required to regenerate a solid sorbent is directly related to the heat capacity of the material. However, for most materials suitable for carbon capture applications, the heat capacity is not known, and thus th...
Alternative Titles
Full title
A data-science approach to predict the heat capacity of nanoporous materials
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7613869
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7613869
Other Identifiers
ISSN
1476-1122
E-ISSN
1476-4660
DOI
10.1038/s41563-022-01374-3
