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Machine Learning-Enabled Tomographic Imaging of Chemical Short-Range Atomic Ordering

; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;

In
Advanced materials 36(44), Seiten/Artikel-Nr.:2407564

ImpressumWeinheim : Wiley-VCH

Umfang1-9

ISSN1521-4095

Online
DOI: 10.1002/adma.202407564

DOI: 10.18154/RWTH-2024-10342
URL: https://publications.rwth-aachen.de/record/996046/files/996046.pdf

Einrichtungen

  1. Lehrstuhl für Experimentalphysik I A und I. Physikalisches Institut (131110)
  2. Fachgruppe Physik (130000)


Thematische Einordnung (Klassifikation)
DDC: 660

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85200986640
WOS Core Collection: WOS:001289019700001
PubMed: pmid:39135414

Interne Identnummern
RWTH-2024-10342
Datensatz-ID: 996046

Beteiligte Länder
Germany, Peoples R China, Switzerland, UK, USA

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; DEAL Wiley ; Essential Science Indicators ; IF >= 25 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Faculty of Mathematics and Natural Sciences (Fac.1) > Department of Physics
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130000
131110
 Record created 2024-11-04, last modified 2025-09-30
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