Data-driven pitting evolution prediction for corrosion-resistant alloys by time-series analysis
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2397-2106
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Data-driven pitting evolution prediction for corrosion-resistant alloys by time-series analysis ; volume:6 ; number:1 ; day:11 ; month:11 ; year:2022 ; pages:1-8 ; date:12.2022
npj Materials degradation ; 6, Heft 1 (11.11.2022), 1-8, 12.2022
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41529-022-00307-4
- URN
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urn:nbn:de:101:1-2023012521483288858636
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:23 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Jiang, Xue
- Yan, Yu
- Su, Yanjing
- SpringerLink (Online service)
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Effect of anionic surfactants as pitting corrosion inhibitors for stainless steels
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Automated ex-situ detection of pitting corrosion and its effect on the mechanical integrity of rare earth magnesium alloy - WE43
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Investigation of pitting corrosion behaviour of welded duplex stainless steels
Phase-field model of pitting corrosion kinetics in metallic materials
Microstructural Aspects of Premature Pitting Corrosion of Steel Pipe–Case Study
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Effect of anionic surfactants as pitting corrosion inhibitors for stainless steels
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