- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-1499
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Machine learning subsurface flow equations from data ; volume:23 ; number:5 ; day:12 ; month:7 ; year:2019 ; pages:895-910 ; date:10.2019
Computational geosciences ; 23, Heft 5 (12.7.2019), 895-910, 10.2019
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10596-019-09847-2
- URN
-
urn:nbn:de:101:1-2020021623225891799872
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:51 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Chang, Haibin
- Zhang, Dongxiao
- SpringerLink (Online service)
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