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Exploring chemistry and catalysis by biasing skewed distributions via deep learning
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In
Nature Communications 17, Seiten/Artikel-Nr.:3010
2026
Online
DOI: 10.1038/s41467-026-69586-8
DOI: 10.18154/RWTH-2026-04152
URL: https://publications.rwth-aachen.de/record/1033443/files/1033443.pdf
Einrichtungen
Thematische Einordnung (Klassifikation)
DDC: 500
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105034764817
WOS Core Collection: WOS:001729875200010
Interne Identnummern
RWTH-2026-04152
Datensatz-ID: 1033443
Beteiligte Länder
Germany, Italy
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