Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/165786| Author(s): | Milica Ritopecki |
| Title: | Deep learning and theoretical chemistry approaches to understand the physical chemistry of metallic nanoparticles |
| Issue Date: | 2024-08-28 |
| Subject: | Ciências exactas e naturais Natural sciences |
| Scientific areas: | Ciências exactas e naturais Natural sciences |
| DOI: | 10.34626/1smq-2g66 |
| TID identifier: | 203853610 |
| URI: | https://hdl.handle.net/10216/165786 |
| Document Type: | Dissertação |
| Rights: | openAccess |
| Appears in Collections: | FCUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 714283.pdf | Deep learning and theoretical chemistry approaches to understand the physical chemistry of metallic nanoparticles | 4.96 MB | Adobe PDF |  View/Open |
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