Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors ; volume:6 ; number:1 ; day:3 ; month:10 ; year:2023 ; pages:1-12 ; date:12.2023
Communications chemistry ; 6, Heft 1 (3.10.2023), 1-12, 12.2023
- Urheber
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Orhan, Ibrahim B.
Le, Tu C.
Babarao, Ravichandar
Thornton, Aaron W.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s42004-023-01009-x
- URN
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urn:nbn:de:101:1-2024020210533193996135
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
29.10.2025, 00:28 MEZ
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Beteiligte
- Orhan, Ibrahim B.
- Le, Tu C.
- Babarao, Ravichandar
- Thornton, Aaron W.
- SpringerLink (Online service)
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