Predictive modeling of CO2 solubility in piperazine aqueous solutions using boosting algorithms for carbon capture goals
- 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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Predictive modeling of CO2 solubility in piperazine aqueous solutions using boosting algorithms for carbon capture goals ; volume:14 ; number:1 ; day:27 ; month:9 ; year:2024 ; pages:1-19 ; date:12.2024
Scientific reports ; 14, Heft 1 (27.9.2024), 1-19, 12.2024
- Urheber
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Mohammadi, Mohammad-Reza
Larestani, Aydin
Schaffie, Mahin
Hemmati-Sarapardeh, Abdolhossein
Ranjbar, Mohammad
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-73070-y
- URN
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urn:nbn:de:101:1-2412132127543.966204494872
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:29 MESZ
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Beteiligte
- Mohammadi, Mohammad-Reza
- Larestani, Aydin
- Schaffie, Mahin
- Hemmati-Sarapardeh, Abdolhossein
- Ranjbar, Mohammad
- SpringerLink (Online service)
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