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Machine learning to predict gold nanostar optical properties

; ; ; ; ; ; ;

In
Nanoscale advances 7(13), Seiten/Artikel-Nr.:4117-4128

ImpressumCambridge : Royal Society of Chemistry

ISSN2516-0230

Online
DOI: 10.1039/D5NA00265F

DOI: 10.18154/RWTH-2025-06858
URL: https://publications.rwth-aachen.de/record/1016273/files/1016273.pdf

Einrichtungen

  1. Institut und Lehrstuhl für Experimentelle Molekulare Bildgebung (811003-3 ; 924210)


Thematische Einordnung (Klassifikation)
DDC: 540

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105006740052
WOS Core Collection: WOS:001495380700001
PubMed: pmid:40438669

Interne Identnummern
RWTH-2025-06858
Datensatz-ID: 1016273

Beteiligte Länder
Germany, Iran

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 3.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Essential Science Indicators ; Fees ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
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Publication server / Open Access
Faculty of Medicine (Fac.10)
811003\-3
Public records
Publication Charges
Publications database
TypAmountVATCurrencyShareStatusCost centre
APC1981.63314.80EUR100.00 %(Publish and Read)021000-924210
Sum1981.63314.80EUR   
Total2296.43     
 Record created 2025-08-13, last modified 2026-01-29
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