A data-science approach to predict the heat capacity of nanoporous materials

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; Smit, Berend

doi:10.1038/s41563-022-01374-3

A data-science approach to predict the heat capacity of nanoporous materials

Journal Article · 13 October 2022 · Nature Materials

DOI:https://doi.org/10.1038/s41563-022-01374-3· OSTI ID:2424361

; ; Ongari, Daniele; Moubarak, Elias; Asgari, Mehrdad; Kadioglu, Özge; ; ; ; Sarkisov, Lev; Garcia, Susana; ;

Not provided.

Research Organization:: Ecole Polytechnique Federale Lausanne (EPFL) (Switzerland)

Sponsoring Organization:: USDOE

OSTI ID:: 2424361

Journal Information:: Nature Materials, Journal Name: Nature Materials Journal Issue: 12 Vol. 21; ISSN 1476-1122

Publisher:: Springer Nature

Country of Publication:: United States

Language:: English

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