Applying machine learning techniques to predict the properties of energetic materials
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Applying machine learning techniques to predict the properties of energetic materials ; volume:8 ; number:1 ; day:13 ; month:6 ; year:2018 ; pages:1-12 ; date:12.2018
Scientific reports ; 8, Heft 1 (13.6.2018), 1-12, 12.2018
- Klassifikation
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Naturwissenschaften
- Urheber
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Elton, Daniel C.
- Beteiligte Personen und Organisationen
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Boukouvalas, Zois
Butrico, Mark S.
Fuge, Mark D.
Chung, Peter W.
SpringerLink (Online service)
- DOI
-
10.1038/s41598-018-27344-x
- URN
-
urn:nbn:de:101:1-2018081216544008917496
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:35 MESZ
Datenpartner
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Beteiligte
- Elton, Daniel C.
- Boukouvalas, Zois
- Butrico, Mark S.
- Fuge, Mark D.
- Chung, Peter W.
- SpringerLink (Online service)
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