Applying machine learning techniques to predict the properties of energetic materials

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2045-2322

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: 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

Classification: Naturwissenschaften

Creator: Elton, Daniel C.

Contributor: 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

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:35 AM CEST

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Elton, Daniel C.
Boukouvalas, Zois
Butrico, Mark S.
Fuge, Mark D.
Chung, Peter W.
SpringerLink (Online service)

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Applying machine learning techniques to predict the properties of energetic materials

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