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A data-science approach to predict the heat capacity of nan..:
Moosavi, Seyed Mohamad
;
Novotny, Balázs Álmos
;
Ongari, Daniele
...
Nature Materials. 21 (2022) 12 - p. 1419-1425 , 2022
Link:
https://doi.org/10.1038/s41563-022-01374-3
RT Journal T1
A data-science approach to predict the heat capacity of nanoporous materials
UL https://suche.suub.uni-bremen.de/peid=cr-10.1038_s41563-022-01374-3&Exemplar=1&LAN=DE A1 Moosavi, Seyed Mohamad A1 Novotny, Balázs Álmos A1 Ongari, Daniele A1 Moubarak, Elias A1 Asgari, Mehrdad A1 Kadioglu, Özge A1 Charalambous, Charithea A1 Ortega-Guerrero, Andres A1 Farmahini, Amir H. A1 Sarkisov, Lev A1 Garcia, Susana A1 Noé, Frank A1 Smit, Berend PB Springer Science and Business Media LLC YR 2022 SN 1476-1122 SN 1476-4660 JF Nature Materials VO 21 IS 12 SP 1419 OP 1425 LK http://dx.doi.org/https://doi.org/10.1038/s41563-022-01374-3 DO https://doi.org/10.1038/s41563-022-01374-3 SF ELIB - SuUB Bremen
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