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

Seyed Mohamad Moosavi, Balázs Álmos Novotny, Daniele Ongari, Elias Moubarak, Mehrdad Asgari, Özge Kadioglu, Charithea Charalambous, Andres Ortega‐Guerrero, Amir H. Farmahini, Lev Sarkisov, Susana García, Frank Noé, Berend Smit

2022Nature Materials124 citationsDOIOpen Access PDF

Topics & Concepts

Heat capacityMaterials scienceWork (physics)Process engineeringFlue gasCarbon fibersNanoporousSorbentProcess (computing)AdsorptionComputer scienceThermodynamicsMechanical engineeringNanotechnologyComposite materialWaste managementChemistryOrganic chemistryEngineeringOperating systemPhysicsComposite numberMetal-Organic Frameworks: Synthesis and ApplicationsMachine Learning in Materials ScienceZeolite Catalysis and Synthesis
A data-science approach to predict the heat capacity of nanoporous materials | Litcius