h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

Discovery of liquid crystalline polymers with high thermal conductivity using machine learning

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

In
npj computational materials 11(1), Seiten/Artikel-Nr.:205

ImpressumLondon : Nature Publ. Group

Umfang1-9

ISSN2057-3960

Online
DOI: 10.1038/s41524-025-01671-w

DOI: 10.18154/RWTH-2025-06132
URL: https://publications.rwth-aachen.de/record/1014532/files/1014532.pdf

Einrichtungen

  1. Lehrstuhl für Mikro- und Nanosysteme und Institut für Werkstoffe der Elektrotechnik (612510)


Thematische Einordnung (Klassifikation)
DDC: 004

OpenAccess:
Download fulltext PDF

Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
WOS Core Collection: WOS:001521875100003

Interne Identnummern
RWTH-2025-06132
Datensatz-ID: 1014532

Beteiligte Länder
Germany, Japan

 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 ; Essential Science Indicators ; Fees ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Electrical Engineering and Information Technology (Fac.6)
Publication server / Open Access
Public records
Publications database
612510
 Record created 2025-07-14, last modified 2025-07-17
Similar records


OpenAccess:
Download fulltext PDF
Rate this document:

Rate this document:
1
2
3
4
5
 
(Not yet reviewed)