Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/455320
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Chemical Engineering | |
dc.date.accessioned | 2023-01-31T05:33:24Z | - |
dc.date.available | 2023-01-31T05:33:24Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/455320 | - |
dc.description.abstract | Available newline newline | |
dc.format.extent | 175 p. | |
dc.language | English | |
dc.relation | NA | |
dc.rights | university | |
dc.title | Computational models enable mechanistic information on viral infection insight from predictive modeling | |
dc.title.alternative | Na | |
dc.creator.researcher | Saxena, Abha | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Chemical | |
dc.description.note | Reference page p. 161 | |
dc.contributor.guide | Giri, Lopamudra | |
dc.publisher.place | Kandi | |
dc.publisher.university | Indian Institute of Technology Hyderabad | |
dc.publisher.institution | Department of Chemical Engineering | |
dc.date.registered | 2015 | |
dc.date.completed | 2021 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | NA | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Chemical Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 151.7 kB | Adobe PDF | View/Open |
80_recommendation.pdf | 806.11 kB | Adobe PDF | View/Open |
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