High-throughput materials screening algorithm based on first-principles density functional theory and artificial neural network for high-entropy alloys
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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High-throughput materials screening algorithm based on first-principles density functional theory and artificial neural network for high-entropy alloys ; volume:12 ; number:1 ; day:5 ; month:10 ; year:2022 ; pages:1-12 ; date:12.2022
Scientific reports ; 12, Heft 1 (5.10.2022), 1-12, 12.2022
- Urheber
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Rittiruam, Meena
Noppakhun, Jakapob
Setasuban, Sorawee
Aumnongpho, Nuttanon
Sriwattana, Attachai
Boonchuay, Suphawich
Saelee, Tinnakorn
Wangphon, Chanthip
Ektarawong, Annop
Chammingkwan, Patchanee
Taniike, Toshiaki
Praserthdam, Supareak
Praserthdam, Piyasan
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1038/s41598-022-21209-0
- URN
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urn:nbn:de:101:1-2022122221065923260200
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
Datenpartner
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Beteiligte
- Rittiruam, Meena
- Noppakhun, Jakapob
- Setasuban, Sorawee
- Aumnongpho, Nuttanon
- Sriwattana, Attachai
- Boonchuay, Suphawich
- Saelee, Tinnakorn
- Wangphon, Chanthip
- Ektarawong, Annop
- Chammingkwan, Patchanee
- Taniike, Toshiaki
- Praserthdam, Supareak
- Praserthdam, Piyasan
- SpringerLink (Online service)
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