Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/576775
| Title: | Machine Learning and Density Functional Theory Assisted Insights into the Mechanical and Oxidation Properties of Nickel based Superalloys |
| Researcher: | Khatavkar, Nikhil |
| Guide(s): | Singh, K. Abhishek |
| Keywords: | Engineering and Technology Material Science Materials Science Multidisciplinary |
| University: | Indian Institute of Science Bangalore |
| Completed Date: | 2023 |
| Abstract: | newline |
| Pagination: | |
| URI: | http://hdl.handle.net/10603/576775 |
| 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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