Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/246806
| DC Field | Value | |
|---|---|---|
| dc.title | Data-driven material property prediction using probabilistic AI for Nuclear safety | |
| dc.contributor.author | Lye, Adolphus | |
| dc.contributor.author | Prinja, Nawal | |
| dc.contributor.author | Patelli, Edoardo | |
| dc.date.accessioned | 2024-01-23T00:04:03Z | |
| dc.date.available | 2024-01-23T00:04:03Z | |
| dc.date.issued | 2024-01-11 | |
| dc.identifier.citation | Lye, Adolphus, Prinja, Nawal, Patelli, Edoardo (2024-01-11). Data-driven material property prediction using probabilistic AI for Nuclear safety. Global Young Scientists Summit 2024. ScholarBank@NUS Repository. | |
| dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/246806 | |
| dc.source | Elements | |
| dc.type | Conference Paper | |
| dc.date.updated | 2024-01-22T15:23:11Z | |
| dc.contributor.department | S'PORE NUCLEAR RSCH & SAFETY INITIATIVE | |
| dc.description.sourcetitle | Global Young Scientists Summit 2024 | |
| dc.published.state | Unpublished | |
| Appears in Collections: | Staff Publications Elements | |
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Files in This Item:
| File | Description | Size | Format | Access Settings | Version | |
|---|---|---|---|---|---|---|
| GYSS 2024 Poster [Adolphus Lye].pdf | Accepted version | 1.44 MB | Adobe PDF | OPEN | Post-print | View/Download |
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