Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/576775
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-07-15T04:58:32Z | - |
dc.date.available | 2024-07-15T04:58:32Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/576775 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Machine Learning and Density Functional Theory Assisted Insights into the Mechanical and Oxidation Properties of Nickel based Superalloys | |
dc.title.alternative | ||
dc.creator.researcher | Khatavkar, Nikhil | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Material Science | |
dc.subject.keyword | Materials Science Multidisciplinary | |
dc.description.note | ||
dc.contributor.guide | Singh, K. Abhishek | |
dc.publisher.place | Bangalore | |
dc.publisher.university | Indian Institute of Science Bangalore | |
dc.publisher.institution | Materials Research Centre | |
dc.date.registered | 2018 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Materials Research Centre |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 65 kB | Adobe PDF | View/Open |
02_prelim.pdf | 43.6 kB | Adobe PDF | View/Open | |
03_content.pdf | 55.67 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 50.46 kB | Adobe PDF | View/Open | |
13_annexure.pdf | 295.82 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 29.31 kB | Adobe PDF | View/Open |
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