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Curlew 1.0: Spatio-temporal implicit geological modelling with neural fields in python

; ; ; ; ; ; ;

In
Geoscientific model development : GMD 19(8), Seiten/Artikel-Nr.:3455-3475

ImpressumKatlenburg-Lindau : Copernicus

ISSN1991-9603

Online
DOI: 10.5194/gmd-19-3455-2026

DOI: 10.18154/RWTH-2026-04598
URL: https://publications.rwth-aachen.de/record/1034266/files/1034266.pdf

Einrichtungen

  1. Lehrstuhl für Numerische Geowissenschaften, Geothermie und Reservoirgeophysik (532610)
  2. E.ON Energy Research Center (080052)
  3. Fachgruppe Geowissenschaften (530000)


Thematische Einordnung (Klassifikation)
DDC: 550

OpenAccess:
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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Interne Identnummern
RWTH-2026-04598
Datensatz-ID: 1034266

Beteiligte Länder
Australia, Canada, France, Germany

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Faculty of Georesources and Materials Engineering (Fac.5) > Division of Earth Sciences and Geography
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Public records
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080052
532610
530000
 Record created 2026-04-28, last modified 2026-05-07
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