Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloys Article Swipe
Ankit Roy
,
M. F. N. Taufique
,
Hrishabh Khakurel
,
Ram Devanathan
,
D. D. Johnson
,
Ganesh Balasubramanian
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1038/s41529-021-00208-y
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1038/s41529-021-00208-y
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41529-021-00208-y
- https://www.nature.com/articles/s41529-021-00208-y.pdf
- OA Status
- gold
- Cited By
- 87
- References
- 68
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4210439042
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4210439042Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41529-021-00208-yDigital Object Identifier
- Title
-
Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloysWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-31Full publication date if available
- Authors
-
Ankit Roy, M. F. N. Taufique, Hrishabh Khakurel, Ram Devanathan, D. D. Johnson, Ganesh BalasubramanianList of authors in order
- Landing page
-
https://doi.org/10.1038/s41529-021-00208-yPublisher landing page
- PDF URL
-
https://www.nature.com/articles/s41529-021-00208-y.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.nature.com/articles/s41529-021-00208-y.pdfDirect OA link when available
- Concepts
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Corrosion, Principal component analysis, Materials science, Computer science, Predictive modelling, Artificial intelligence, Variety (cybernetics), Machine learning, Algorithm, MetallurgyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
87Total citation count in OpenAlex
- Citations by year (recent)
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2025: 26, 2024: 33, 2023: 21, 2022: 7Per-year citation counts (last 5 years)
- References (count)
-
68Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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