Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/446730
Title: | Machine learning and computational approaches toward understanding and predicting yield and selectivities of organic reactions |
Researcher: | Singh, Sukriti |
Guide(s): | Sunoj, R. B. |
Keywords: | Chemistry Chemistry Organic Physical Sciences |
University: | Indian Institute of Technology Bombay |
Completed Date: | 2021 |
Abstract: | Abstract attached newline newline |
Pagination: | NA |
URI: | http://hdl.handle.net/10603/446730 |
Appears in Departments: | Department of Chemistry |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 21.45 kB | Adobe PDF | View/Open |
02_prelimpages.pdf | 299.23 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 225.43 kB | Adobe PDF | View/Open | |
04_contents.pdf | 1.44 MB | Adobe PDF | View/Open | |
05_chapter_1.pdf | 1.08 MB | Adobe PDF | View/Open | |
06_chapter_2.pdf | 1.99 MB | Adobe PDF | View/Open | |
07_chapter_3.pdf | 955.38 kB | Adobe PDF | View/Open | |
08_chapter_4.pdf | 1.22 MB | Adobe PDF | View/Open | |
09_chapter_5.pdf | 1.32 MB | Adobe PDF | View/Open | |
10_annexure.pdf | 1.88 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 3.39 MB | Adobe PDF | View/Open |
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