000 02449 am a22003493u 4500
042 _adc
100 1 0 _aMoosavi, Seyed Mohamad
_eauthor
_91659
700 1 0 _aNovotny, Balázs Álmos
_eauthor
_91660
700 1 0 _aOngari, Daniele
_eauthor
_91661
700 1 0 _aMoubarak, Elias
_eauthor
_91662
700 1 0 _aAsgari, Mehrdad
_eauthor
_91663
700 1 0 _aKadioglu, Özge
_eauthor
_91664
700 1 0 _aCharalambous, Charithea
_eauthor
_91665
700 1 0 _aOrtega-Guerrero, Andres
_eauthor
_91666
700 1 0 _aFarmahini, Amir H.
_eauthor
_91667
700 1 0 _aSarkisov, Lev
_eauthor
_91668
700 1 0 _aGarcia, Susana
_eauthor
_91669
700 1 0 _aNoé, Frank
_eauthor
_91670
700 1 0 _aSmit, Berend
_eauthor
_91671
245 0 0 _aA Data-Science Approach to Predict the Heat Capacity of Nanoporous Materials
260 _c2022-12.
500 _a/pmc/articles/PMC7613869/
500 _a/pubmed/36229651
520 _aThe heat capacity of a material is a fundamental property that is 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 the standard procedure is to assume the same value for all materials. In this work, we developed a machine-learning approach, trained on density functional theory simulations, to accurately predict the heat capacity of these materials, i.e., zeolites, metal-organic frameworks, and covalent-organic frameworks. The accuracy of our prediction is confirmed with experimental data. Finally, for a temperature swing adsorption process that captures carbon from the flue gas of a coal-fired power plant, we show that for some materials the heat requirement is reduced by as much as a factor of two using the correct heat capacity.
540 _a
540 _ahttps://www.springernature.com/gp/open-research/policies/accepted-manuscript-termsUsers may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms
546 _aen
690 _aArticle
655 7 _aText
_2local
786 0 _nNat Mater
856 4 1 _uhttp://dx.doi.org/10.1038/s41563-022-01374-3
_zConnect to this object online.
999 _c2006
_d2006