Oktober 2, 2024 In Unkategorisiert
Machine learning-assisted analysis of dry and lubricated tribological properties of Al–Co–Cr–Fe–Ni high entropy alloy
Digital Discovery, 2024, Advance Article
DOI: 10.1039/D4DD00169A, Paper
DOI: 10.1039/D4DD00169A, Paper
Open Access
  This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.
Saurabh Vashistha, Bashista Kumar Mahanta, Vivek Kumar Singh, Neha Sharma, Anjan Ray, Saurabh Dixit, Shailesh Kumar Singh
This study marks a notable advancement in tribology by thoroughly investigating the tribological properties of a high-entropy alloy under both lubricated and dry conditions.
To cite this article before page numbers are assigned, use the DOI form of citation above.
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This study marks a notable advancement in tribology by thoroughly investigating the tribological properties of a high-entropy alloy under both lubricated and dry conditions.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
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